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Internet of Things + AI. These are the basis for G7's
mission to revolutionize the logistics industry. Technology is
the global unifier of information and G7 wields it to connect
the modern fleet to partners both at home and abroad. G7
is building China's leading smart Internet of Things platform
which will serve as the backbone to the entire transporta-
tion network. Over 60,000 fleets today, comprised of
800,000+ vehicles, connect to the G7 platform. They span
a wide range of businesses such as express delivery,
e-commerce, hazardous chemicals transportation, cold
chain logistics, automobile logistics, bulk transportation,
citywide delivery, and cargo owners.
Backed by investors such as Tencent, Temasek, GLP, and
HOPU, G7 is a privately-held enterprise headquartered in
Beijing. It has an R&D center in Chengdu and solution
centers in both Shanghai and Guangzhou. G7 today
branches out to every corner of China, and into its
surrounding Asian countries.
At the Forefront of IoT
Service Expansion. G7 invests
in broadening its offerings and
establishing a nationwide
service network for its clientele.
Tailored Innovation. G7 focuses on
product enhancement. Its "Routing
Console" becomes the No. 1 transpor-
tation management tool for LTL
Express companies.
Nascency. G7 develops a basic
fleet management services for
the logistics industry.
Pathway to Industry Transformation
2017
And Beyond - The IoT+AI Era. G7 continues to
invest in product, R&D, promoting safety robots,
operating robots, and financial robots. With help
from old investors and new, such as CCB Interna-
tional, Xinda Hanshi Investment, and BOC Invest-
ment, G7 establishes itself as China's leading
Internet of Things platform.
Global Partnerships. G7 begins strategic coopera-
tions with global industry leaders, raising its bar to
international standards. Series B round financing
brings on new investment partners Temasek, CDB
and GLP.
Hello Mobile. G7 adds mobile apps to its product
line, as a means to reach small and medium fleets
while continuing to leverage its state-of-the-art
hardware components. Tencent leads G7's Series A
financing.
Technical Deep Dive. G7 establishes
its Chengdu R&D Center, allowing for
greater control over client-facing
software products. First angel round of
fundraising takes place.
In-House Design. By bringing its hardware product team in-house, G7
is able to reduce its external dependencies, drastically increasing its
development efficiency, making G7 the first end-to-end telematics
service platform in China.
Engine Fuel Cargo Door Temperature Cold Chain Speed Video ETC Toll
G7 quantifies each part of the transport process. At the foundation is
Driving. Based off vehicle speed and position, G7 is able to tell a story
of the journey. What route was driven? How long did it take? Was
there any delay due to loading and unloading? Was the trip leisurely
or rushed? Going one level deeper, G7 continues through the extra
polation of vehicle data. What does fuel consumption tell us about
driver skill? This road had lots of brakes and swerving, should we use
with this route in the future? Expanding beyond the truck, G7 investi-
gates cargo. Was the yogurt kept cold at all points of the journey?
Was the cargo door opened outside of the designated loading areas?
G7's data platform unifies the players in the journey: cargo owner,
fleet owner and driver. By taking this digital approach, G7 upgrades
the traditional operation model of logistics, setting the stage for
automation and intelligence. The goal is to optimize time efficiency,
safety, and cost. At the same time, G7 integrates data from leading
global vehicle manufacturers, automotive core component manufac-
turers, and professional financial service organizations, committing
itself to building a comprehensive ecosystem to serve the entire
industry chain.
Digitizing the Logistics Industry
Productivity
Over 60% of G7's 1000+ employees are engineers, emphasizing its
commitment to technology innovation. G7 has China's foremost
Internet of Things + AI experts in its R&D and analysis team, who enjoy
the challenge of big data operations services and large-scale Internet
platform services. Through continuous training, corporate values, and
solid management, G7 is able to maintains its cutting edge in the field
of logistics.
Big Data
1.35 Billion Tracked Data Points
2.3+ Million Dispatched Routes per Month
800,000+ Trucks
22 Million Alert Notifications
220,000+ Monitored Truck Lanes
400,000+ Delivery Sites
km/day
That's 1625 revolutions around the earth
fleet customers trust in G7
+
xlaom .coml
G7's big data is a basis for measuring Capacity Management. Through a series of key identifying
parameters, transport companies are able to be matched to the core needs of shippers. Doing so
in real time maximizes value to both shippers and carriers.
Capacity Management Solutions
Capacity Pool Management Tool
Search for Capacity Shipper Platform
Capacity Management Solution Customization
Resource
Synergy
Data
Analysis
Ecosystem
Benefits
Mobile
Internet
Capacity Business Expansion
Capacity Matching Fleet Recommendation
Enterprise Promotion Bidding Platform
Private Capacity Pool Matching Service
Capacity Pooling Shipper/Carrier Introduction
Capacity Access Carrier Management
Solutions Tailored by Industry
In-Depth Interactions with 7 Key Transport Areas
Express Delivery
& E-commerce
Hazardous
Goods Transport
Bulk Goods
Transportation
Citywide
Distribution
Auto Transport
Logistics
Cold Chain
Shippers
1
2
3
4
Express Delivery & E-commerce Industry
Criteria Process Methodology
Cost Safety
Criteria
Delivery
DistributionCenter
Transportation
process
Fundamental
infrastructure
Timeliness Utilization
Smart dispatching, automated
settlement
Distribution Center Manage-
ment (Dock/vehicle/dispatch/-
loading and unloading)
Digital Management (Safe-
ty/Cost/Time) Efficient and
automated process
Building an IoT platform,
sensor deployment, link to
capacity pool
Combining e-commerce, express delivery, logistics, and warehouse all-in-one, this powerhouse business relies heavily on
integrated technology for its day-to-day operation. After implementing G7, its accident rate dropped from 2.85% to 0.93%.
Per million kilometers, this is a drop from 2.2 to 0.95 incidents.
Unable to identify vehicle risks in
real time
High incidence rate
Unsatisfactory results from visual
monitoring by Quality Control
personnel
Weak KPI assessment system
(1)Management Transforma-
tion
Starting from the Quality Control
Department down to the fleet
manager, G7 clarified the division of
labor. Quality Control is responsible
for real-time risk monitoring, while
Fleet Management is responsible for
identifying and resolving monitoring
transport anomalies.
(2)Assessment
All fleet managers are measured on
their rates of high- and medium- risk
incidents.
(3)Shortened Feedback Loop
G7 enables immediate identification
of improperly disconnected vehicles.
In addition, drivers have personalized
training steps to driving improvement.
(1)Continued decline in accident rate
(2)Accidents per million kilometers conti-
nues to decrease
(3)Reduction of total "high-risk" driving
time
(vehicle/minutes/month)
2.85%
2017.10 2017.11 2017.12 2018.1
2018.12017.10 2017.11 201.12
2.2
2017.10 2017.11 2017.12 2018.1
1.8
1 0.95
2.82%
1.67%
0.93%
57%
56.6%
67%
ResultsSolution
Case Study: Leading Global Express Company
Management
Pain Points
ADR Industry
ADR Cargo Transportation Safety Management Technology Pyramid
Autonomous vehicles
Method
AI
Autonomous
Driving
Safety Big Data
Advanced IoT Technology
Basic Location Information
Advantages
Self-running equipment
Rollover map
1.0
2.0
3.0
4.0
5.0
360 x24hr monitoring of all process (e.g.
loading and unloading) with robots. No
human involvement required.
Full network security management.
Significant reduction of management
costs.
Visualization of the whole transportation
process, real-time management and
monitoring
Constant improvement of the accuracy
of speed and trajectory. Strict control of
driving accuracy.
Nationwide/Provincial-wide networked
control of dangerous tankers, vehicles,
and "Three Types of Employees"
Safety monitoring and complete closed
loop automatic control
Safety files of "employees" and
tanker data
Remote loading/EBS rollover
prevention/Smart tanker
GPS/Beidou/Electronic Fence
For the ADR industry, G7's intelligent safety management program considers over 20 dangerous driving scenarios across
three dimensions: drivers, vehicles and roads. It creates a closed loop of security management ranging from data collection
to real-time monitoring, active intervention, and post-event management.
Eyes Closed
Yawning
Smoking
Mobile Use
Absent From Cabin
Photo Taking
Voice Notification
Distracted Driving
Speeding
Harsh Brake
Sudden Acceleration
Speeding Turn
Driving in Neutral
FCW (Forward Collision Warning)
UFCW (Urban Forward Collision Warning)
PCW (Pedestrian Collision Warning)
LDW (Lane Departure Warning)
Vehicle Usage
Engine Operating status
Fuel Consumption
Rollover Alarm
Rollover Cause Analysis
Drivers Vehicles Roads
Case Study: Leading Global Express Company
This hazardous chemical transport company is engaged in oil and gas transportation. G7 provides an intelligent safety
management solution to monitor, manage, and educate the fleet's drivers.
Existing system only provides GPS
location and video feed
Risk judgment basis and daily
management is based on single
data source
Too many vehicles to monitor at the
same time
(1)Adding Risk Dimension to
Routes
G7 telematics data is supplemented with
risk data, such as identification of
dangerous roads, highlighting areas of
rollover incidence, etc. Drivers are
forewarned when entering a risky area.
(2)Fleet Assessment
Through data analysis and modeling, G7
established a safety scorecard and
report. Drivers or fleets can be ranked
and rewarded/penalized accordingly.
(3)Comprehensive Driver
Supervision
Through real-name verification
against traffic databases, G7 is able
to confirm the identity of drivers and
know their driving record, ensuring
that fleets are hiring the best talent.
(1)Successful deployment of their fleet
assessment system.
(2)Reduction of vehicle incidences by
69%.
Duration of high risk driving
(average min/month/truck)
ResultsSolution
Case Study: Chemical Transport Company
Management
Pain Points
2017.10 2017.11 2017.12 2018.1
Industry Pain Points
Progression of Auto Transport Industry
Stricter regulations on overloaded vehicles means reduced capacity of single-truck transport. Fleets are turning
towards intermodal transport
Lower transport capacity has lead to a dramatic rise in logistic costs
Excess overhead and low efficiency
Barriers in the industry. High rates of empty backhaul. A need for more effective resource integration solutions
Insufficient services to meet the increasing logistics demands of end customers
Auto Transport Industry
At Present Near Term Future
Low visibility. No real-time visibility Real-Time visibility of transport
coverage
Intelligent planning of logistics
assets
Integration across global logistics
services
Upgrade of the automotive
logistics ecosystem
Semi-automation, particularly in
areas of process optimization
Lean cost analysis Data-driven lean operations
Focus on the service experience
Manual planning and recording.
Low efficiency
Lack of service experience
The G7 solution begins at providing a complete visualization of all assets in real-time. Adding a layer of data analysis and
algorithm calculations, allows for integration and optimization with other entities in the transport value chain.
Parts procurement, vehicle,
after-market parts logistics
Capacity matching, dispatching,
in-transit monitoring, settlement,
operation management and data
analysis solutions
Connecting OEMs, parts suppliers, carriers and custom-
ers gives full visualization to each player in the value
chain. Transparency improves user satisfaction and
raises awareness of areas for improvement
Auto Transport Industry Solution
Visualization
Platform
Carrier
Operation
Management
Data-driven
Optimization Auto
Transport
Parts
Supplier Carrier
OEM
Buyer
Algorithm
Engine
IoT
The customer handles all auto transport business on behalf of a domestic OEM. G7's solution provides visibility across
the entire transport chain. In addition, management decisions have become data-driven based on G7 calculations.
Long delay between event occur-
rence and management knowing of
the event
Transport information is provided
manually by carrier. Can not be
independently validated
Lower-than-expected profit margins.
Urgent need to reduce costs and
increase efficiency
Customers complaining of poor
service experience
No means to analyze existing data
Full-deployment of EMS, providing for
real-time access to all transportation
data
Automatic data transmission at logistic
nodes. Leveraging IoT technology
Data-driven cost reporting
Real-time information sharing
Platform accumulates data and
provides analysis
Accurate data in real time
Logistic nodes are updated in real time.
Automated reports
Better understanding and control of real
costs
Improved customer service experience
Introduce algorithms, data analysis, and
optimization to their business
ResultsSolutionManagement
Pain Points
Case Study: Auto Transport Company
Cold Chain Industry
Current Industry Status
Progression of Cold Chain Industry
Blind spots in the order process
At Present - Management is relatively
behind, relying on carriers to report
temperatures after the fact. There is
lack of credibility in data, and virtually
no real-time visibility.
Near Term - Cargo-hold temperature
transmitted real-time. Pre-set alerts for
push notification. Shippers to specify
monitoring equipment as basis for
assessing carriers.
Future - Full end-to-end temperature
visibility and control during the entire
transport process
No unified platform for monitoring Reliant on manual dispatching
No task automation
Communication is inefficient
Assessments are not KPI-data driven
Lack of credibility scoring
Lack of traceability in system
Temperature safety hazards
Multi-system Multi-platform Lack of Capacity Visibility Process is Manual
Real-time position position
Real-time cargo temperature
Temperature Alerts
Service reminders
No task, no alarm
Automated alerts when temperatures
are out-of-range
Reduction of human involvement
Intelligent Refrigerated Trailer
Intelligent Cooler Box
Intelligent Refrigeration Units
Identifying the right carrier
Improving transport service capabilities
Upstream and downstream collaboration
Dynamic visualization of tasks
Cold Chain Industry Solution
Digital Vehicle Management Operation Automation
Intelligent Temperature
Controlled Assets
Intelligent Capacity Matching
G7 Solution
The customer is one of the largest dairy consortiums in China. Lack of temperature visibility creates risks for food safety.
Transportation process is opaque and rife with fraudulent sign-offs.
Temperature management is not
supported by real data
Driver behavior is not easily
managed
Can not get control of real-time
vehicle risk
Delay or distortion in transport
information. On-time delivery
rate at 47%
G7 is integrated with customer’s
existing SAP system
Orders are bound to vehicles and
updated automatically
Portable temperature monitoring
units provided for temporary fleets
Drivers equipped with mobile apps
that update automatically
Order location is monitored in real time
Better control on late arrival rate, delayed deliveries,
temperature and compliance
Order Visualization
On-time delivery rate improves to 95%
ResultsSolution
温度达标率
准点率
订单量
Case Study: Leading Dairy Company
Management
Pain Points
Shippers
A. Traditional Optimization
Traditional supply chain systems (e.g. TMS, OMS)
deployed using original logistics equipment and
existing data capabilities.
B. Intelligent Logistics
Newer technology allows for improved data
capture and interpretation (e.g. trajectories, driver
behavior).
1.0 Data Visualization
2.0 Automated Operations
Visualization moves to automation. Sensors are
able to detect vehicle and cargo damage.
Improved maps allow for delay forecasts and
mitigation.
C. Device Upgrade
Shippers improve their process efficiency by using
latest equipment (e.g. containers, palettes).
D. Supply Chain Restructuring
Historically, the prioritization has been "goods first,
customer second". With new sophisticated data
and latest logistics equipment, this has reversed to
"customer first, goods second".
Traditional
Optimization
Device
Upgrade
Intelligent
Logistics
Supply Chain
Refactoring
Production and manufacturing logistics
upgrade matrix
Data
New
New
Old
Old Device
Data Visualization
Automated Operations
Rich and comprehensive address database
Planning route leveraging big data and historical routes
Automated distribution of routes
Machine learning
Over 40,000 carriers registered on the G7 platform
Shippers can choose to search, opt for automated
matching, or resort to open bids
Matching based on personalized transport needs
Shipper Industry Solution
Vehicle/Personnel Entry Authorization
Queuing System
Automated Identification at the Gate
Loading Dock Matching
Exit Authorization
Real-Time Location of Vehicles
Large Screen Displays
Smart Park
Intelligent Dispatch Asset Management
Capacity Matching
Automation Across the Logistic Park
Improving cost efficiency in regional distribution
Precise and accurate capacity matching capabilities
Order Center
ScheduledCa
pacity Ad-ho
c
Capacity
LTL
Mounted
In-Vehicle
Device
Portable
Device
SkyEye
Tracking
Device
The customer handles auto parts distribution on behalf of a leading domestic automobile OEM. Tasks include milkrun and
LTL transport. Inventory aging and lateness are KPIs.
Characteristics: LTL+ Milk-run
Requirements: high time-efficiency, late penalties
Process tracking reliant on "off-plat-
form" means (e.g. phone calls,
wechat)
Transport information manually
updated. Generating daily reports
requires resource time and energy
7 operators needed to track the 700
in-transit orders per day
Customers complain of lateness
Penalties on lateness exceed
transport revenue
Intelligent update at
transport nodes
Late delivery alerts
automatically pushed
to WeChat
Device is attached to
the paper return. No
recycling costs
3PL and carrier enjoy
transparent informa-
tion sharing
Increased work efficiency across
3PL, carrier, and transfer warehouse
operators
Daily business handled through the
G7 system. WeChat and phone calls
only used to handle one-offs such as
damages to vehicles or cargo
Significant decrease in lateness
G7 data provides objective dispute
resolution basis for all parties
ResultsSolution
Case Study: 3PL Auto-Parts Distribution and Transport
Management
Pain Points
The transport of bulk commodity goods has its own unique challenges. Price spreads across location often lead to
misrepresentation of delivery points, or outright theft. For such reasons, there are physical checkpoint and sign-off
systems to carefully monitor each drop off point. From the monitoring site, transport managers carefully examine
truck maps and route playbacks to ensure the proper flow of goods. These processes are highly inefficient, both
from a cost and time perspective, and reliant on error-prone manual steps.
Bulk Goods Transport Industry
Industry Pain Points
Bulk Goods Transport Model
Means
GPS + load
GPS supervision mode
Manual sign-off mode
Basic economic forecasting
Advantage
Big data, automatic operation
Track cargo handling, in addition to
location
Using GPS and electric fences to
determine location and trajectory
Manned checkpoints en route who
verify and sign-off
Fully-automated operation, leveraging
big data and AI, both upstream and
downstream
More efficient than the 3.0 mode.
Instead of monitoring all transport,
manage by exception
Tracking via single monitor. Easy to
identify fraud but still not particularly
efficient
Useful and orderly, but labor-intensive,
time-consuming, inefficient, and costly
Planned and administered
Simple, straight-forward and, effective
but inflexible
G7 has a proprietary for uploading load weight in conjunction with GPS position.. As a secondary measure, G7's mobile
app allows photo upload to document a transport event. Collectively, this is monitored in a task management platform, a
one-stop shop for all bulk good transport information. The result is lower labor costs as vehicles report their own status in
real-time.
Bulk Goods Transport Plan
Bulk Goods Transport Plan
Vehicle position
determined by GPS
Load sensors track weight
and loading event
Real-time status and data analysis
Load and route compliance
enforced by electronic fences
Alerts provided
in real-time
A company's leadership in an industry has no bearing on a company's leadership in transportation. Large and small bulk
goods companies alike still face issues such as goods displacement, management difficulty, and dealer complaints. G7
provided a flow control program based on "GPS+load+task". This tracked events with locations and unloading events, to
provide a multi-dimensional transport picture.
The transport process is opaque
Review of manual signatures, is
efficient
High construction costs related to
building roadside checkpoints
Dealer complaints
Lack of measurable assessments
Automated itinerary generation
Self-identification of loading and
unloading events. Responsibilities
are easy to track
Transparent visibility throughout the
journey
Easy to identify where issues occur
and who is responsible
Fewer roadside checkpoints, lower
costs
Load curves undergo three-levels of
audit. Bills are settled accordingly
ResultsSolution
Case Study: Leading Cement Company
Management
Pain Points
Traditional region-to-city delivery
is scattered, inefficient, and of
poor quality.
Advantages: Information transparency
and resource integration.
Disadvantages: High cost, poor service,
and lack of scalability.
By automating vehicle and cargo match-
ing, fleets are able to create an integrated
model between light and heavy commer-
cial vehicles, both theirs and third parties',
to better serve large customers.
Traditional urban distribution relies
on express delivery companies
and retail outlets to manage their
own deliveries. This is expensive
and not timely.
Advantages: Economies of scale
Disadvantages: Poor customer experi-
ence, lack of service consistency and
general inefficiencies.
Building a combination of networked
own-delivery resources and outside
delivery companies.
Traditional Delivery
Light Asset Vehicle
Matching Platform
City Express +
Retail Delivery Model
Cold Chain Industry
Solving the B2B challenges between regional distribution
centers to urban depots
Solving the B2C challenges between urban depots to final
delivery point
Today
Distributed and
Micro Delivery Model
Today
Best of All Worlds
Future
Intelligent Vehicle and
Cargo Matching
FuturePast
Past
G7 offers tailored solutions for different customer needs
End-to-end Distribution Solution: G7 provides citywide smart dispatch solutions
which leverage G7's complete technology portfolio. Vehicles are tracked in
real-time and all drive data is collected. Smart dispatching solutions match the
best vehicles and drivers, while ensuring the optimized routes. An entire day of
deliveries can be generated in minutes, improving distribution efficiency, and
reducing transportation costs.
On-site Solutions: With G7's big screen solutions, fleet managers are able to
work through transport challenges remotely, and immediately. Warehouses also
have timely and relevant dock and arrival/departure information.
Peripheral Solutions: Beyond the truck, G7 offers IoT assets which are integral to
the logistic transport process. Ranging from smart refrigerated display coolers, to
smart ice chests, to smart palettes and forklifts, G7's product line of digitized
assets allow for easy identification, tracking and allocating, not only improving
efficiency, but encouraging reuse and waste reduction.
Intelligent
Dispatching
Display
Solutions
On-site Solutions Peripheral Solutions
Distribution Companies
Citywide
Distribution
Smart
Assets
Upstream
Cargo
Owner
Citywide Delivery Solutions
Internal Cargo
External
Cargo
Fleet
Certification
Vehicle
Certification
Intelligent
Dispatching
Maintenance
Freight
Electronic
Receipt
Ticket
Bidding
Task
Delivery
Vehicle
Recommendation
Vehicle
Approaching
Freight Advance
Fleet
Driver
Arrival
Vehicle
Departure
Petrol Card
Solutions
Lease Financing
Credit Loans
Line Price
Loading
Unloading
Carrier Matching Platform Automated Operation
Financial
Services
Downstream
Capacity
Capacity Pool
Exception
Handling
Freight
External Cargo
A leading drink brand has its own distribution company. G7 was approached to replace their existing system where dispatch-
ing was done manually. Records were stored on paper and all communication was done through phone operators. This had
low efficiency, relying completely on manual dispatching, telephone tracking, and paper settlement. Delivery time windows
were frequently missed and account management was messy.
Manual dispatching inefficient
Tracking vehicles through phone calls
is opaque
Inability to assess the veracity of
driver's reasons for delay
Distributor's account management is
confusing
Automatic dispatching, one-click
ordering
Full-monitoring of all vehicles
Automatic receipt settlement
Distributor's statement of accounts
available online
ResultsSolutions
Case Study: Bottled Drink Distributor
Intelligent
Dispatch
G7 Smart
Rewards System
for Drivers
Large Screen
Monitoring
Management
Pain Points
G7 is the first system to use artificial intelligence and big data technology to create a smart accounting book for logistics
fleets. This transforms traditional manually handled accounting into automated processes. Integrating with G7's Advanced
Systems such as fuel management and financing, G7 Accounts Book fully empowers fleet managers to reduce costs and
upgrade to the Smart era.
Cost Analysis
In-depth analysis of costs by vehicle,
route, etc.
Smart Routin
Intelligent computing, self-learning
Accurate Data
Sensors, security, and permanent storage
for peace of mind
Data Integration
Data from multiple sources can be integrated
making G7 the one-stop shop for all fleet data
Easy Accounting
Costs and gross profit are calculated at the
push of a button
Automatic Data Acquisition
Tracking fuel expenses and consumption,
toll fees, and mileage
G7 Accounts Book
Innovative Fleet Management
Six Advantages to G7 Accounts Book
Additional Route Fees
Re-fueling Data
Fuel Consumption and Mileage Calculations
One-Touch Summary
Data is collected at seconds increments. It is then analyzed immediately using
various calculation methods for long-distance, citywide delivery, and round
trips.
Engine data is pulled directly from the vehicle. G7 is able to calculate mileage,
fuel consumption volume, and fuel consumption rate, both at moving and rest.
External transport fees such as bridge and toll roads are also captured by the
G7 system.
When vehicles refuel, G7 records the time and amount, bringing together data
from both the truck and the pump.
More regional cards. More billing options. More areas for expansion.
The G7 platform scales smoothly to meet the needs of every fleet.
G7 Fleet Toll Card Services
By understanding the key payment areas of the transport route for
each customer, G7 is able to provide the best card solutions that meet
the needs of each fleet.
G7 provides payment terms ranging from 1-60 days, based on credit-
worthiness of the fleet. The credit limit also ranges from 5,000 to 10
million RMB, alleviating the pressure on customers' funds.
Combining G7's exit book, electronic invoice management, and
optimal route planning, fleets can further optimize costs and increase
efficiency for their customers.
Being the technology center of a fleet, G7 has a pulse on each customer and understands
what challenges each business is facing. With this data, G7 can support fleets by connecting
with licensed financial institutions such as banks and logistics companies to provide the
fastest and most suitable source of financing.
The threshhold is low. Mileage speaks money.
More miles driven means higher credit limit.
Quick and easy process
The process takes only three minutes. Two steps. One mobile phone.
Instant verification with multiple fund sources
Flexible payment options
Mileage Backed Lending
The initial credit limit can be as high as 500,000 RMB, sourced through various
lenders. As the loan is paid off, the credit amount is immediately restored.
Fleets can select the payment option that most suits their needs. Installments, early
payments, delayed payments, are all viable options.
Trailer EBS System
T-Router
Tire Temperature and Pressure Monitoring
G7 Smart
G7 Intelligent Trailer
Equipped with features such as
anti-lock and anti-rollover, this is
the brain of the smart trailer
Proper tire management not only prevents accidents, but also saves fuel
GPS coupled with TEBS data
provides a real-time snapshot of
trailer and load safety
Full map
monitoring makes
matching vehicles
and trailers easy
Digitized files
once and for all
Remote
lockdown enables
trailer swapping
Tire temperature
and pressure real-time
monitoring ensures
a safe journey
Full Load Visibility
Real-Time Alerts
Rollover Prevention
EBS Precision Control
Active Intervention
Identifying Rollover
Risk Areas
Rollover
Countermeasures
Optimizing Transport Safety and Vehicle Effectiveness
Creating the next generation logistics ecosystem based on IoT + AI
PARTNERING FOR THE FUTURE
www.english.g7.com.cn
marketing@g7.com.cn

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G7 2018 brochure

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. 5 Internet of Things + AI. These are the basis for G7's mission to revolutionize the logistics industry. Technology is the global unifier of information and G7 wields it to connect the modern fleet to partners both at home and abroad. G7 is building China's leading smart Internet of Things platform which will serve as the backbone to the entire transporta- tion network. Over 60,000 fleets today, comprised of 800,000+ vehicles, connect to the G7 platform. They span a wide range of businesses such as express delivery, e-commerce, hazardous chemicals transportation, cold chain logistics, automobile logistics, bulk transportation, citywide delivery, and cargo owners. Backed by investors such as Tencent, Temasek, GLP, and HOPU, G7 is a privately-held enterprise headquartered in Beijing. It has an R&D center in Chengdu and solution centers in both Shanghai and Guangzhou. G7 today branches out to every corner of China, and into its surrounding Asian countries. At the Forefront of IoT
  • 6. Service Expansion. G7 invests in broadening its offerings and establishing a nationwide service network for its clientele. Tailored Innovation. G7 focuses on product enhancement. Its "Routing Console" becomes the No. 1 transpor- tation management tool for LTL Express companies. Nascency. G7 develops a basic fleet management services for the logistics industry. Pathway to Industry Transformation
  • 7. 2017 And Beyond - The IoT+AI Era. G7 continues to invest in product, R&D, promoting safety robots, operating robots, and financial robots. With help from old investors and new, such as CCB Interna- tional, Xinda Hanshi Investment, and BOC Invest- ment, G7 establishes itself as China's leading Internet of Things platform. Global Partnerships. G7 begins strategic coopera- tions with global industry leaders, raising its bar to international standards. Series B round financing brings on new investment partners Temasek, CDB and GLP. Hello Mobile. G7 adds mobile apps to its product line, as a means to reach small and medium fleets while continuing to leverage its state-of-the-art hardware components. Tencent leads G7's Series A financing. Technical Deep Dive. G7 establishes its Chengdu R&D Center, allowing for greater control over client-facing software products. First angel round of fundraising takes place. In-House Design. By bringing its hardware product team in-house, G7 is able to reduce its external dependencies, drastically increasing its development efficiency, making G7 the first end-to-end telematics service platform in China.
  • 8. Engine Fuel Cargo Door Temperature Cold Chain Speed Video ETC Toll
  • 9. G7 quantifies each part of the transport process. At the foundation is Driving. Based off vehicle speed and position, G7 is able to tell a story of the journey. What route was driven? How long did it take? Was there any delay due to loading and unloading? Was the trip leisurely or rushed? Going one level deeper, G7 continues through the extra polation of vehicle data. What does fuel consumption tell us about driver skill? This road had lots of brakes and swerving, should we use with this route in the future? Expanding beyond the truck, G7 investi- gates cargo. Was the yogurt kept cold at all points of the journey? Was the cargo door opened outside of the designated loading areas? G7's data platform unifies the players in the journey: cargo owner, fleet owner and driver. By taking this digital approach, G7 upgrades the traditional operation model of logistics, setting the stage for automation and intelligence. The goal is to optimize time efficiency, safety, and cost. At the same time, G7 integrates data from leading global vehicle manufacturers, automotive core component manufac- turers, and professional financial service organizations, committing itself to building a comprehensive ecosystem to serve the entire industry chain. Digitizing the Logistics Industry
  • 11. Over 60% of G7's 1000+ employees are engineers, emphasizing its commitment to technology innovation. G7 has China's foremost Internet of Things + AI experts in its R&D and analysis team, who enjoy the challenge of big data operations services and large-scale Internet platform services. Through continuous training, corporate values, and solid management, G7 is able to maintains its cutting edge in the field of logistics.
  • 12. Big Data 1.35 Billion Tracked Data Points 2.3+ Million Dispatched Routes per Month 800,000+ Trucks
  • 13. 22 Million Alert Notifications 220,000+ Monitored Truck Lanes 400,000+ Delivery Sites km/day That's 1625 revolutions around the earth
  • 16. G7's big data is a basis for measuring Capacity Management. Through a series of key identifying parameters, transport companies are able to be matched to the core needs of shippers. Doing so in real time maximizes value to both shippers and carriers. Capacity Management Solutions Capacity Pool Management Tool Search for Capacity Shipper Platform Capacity Management Solution Customization Resource Synergy Data Analysis Ecosystem Benefits Mobile Internet Capacity Business Expansion Capacity Matching Fleet Recommendation Enterprise Promotion Bidding Platform Private Capacity Pool Matching Service Capacity Pooling Shipper/Carrier Introduction Capacity Access Carrier Management
  • 17. Solutions Tailored by Industry In-Depth Interactions with 7 Key Transport Areas Express Delivery & E-commerce Hazardous Goods Transport Bulk Goods Transportation Citywide Distribution Auto Transport Logistics Cold Chain Shippers
  • 18. 1 2 3 4 Express Delivery & E-commerce Industry Criteria Process Methodology Cost Safety Criteria Delivery DistributionCenter Transportation process Fundamental infrastructure Timeliness Utilization Smart dispatching, automated settlement Distribution Center Manage- ment (Dock/vehicle/dispatch/- loading and unloading) Digital Management (Safe- ty/Cost/Time) Efficient and automated process Building an IoT platform, sensor deployment, link to capacity pool
  • 19. Combining e-commerce, express delivery, logistics, and warehouse all-in-one, this powerhouse business relies heavily on integrated technology for its day-to-day operation. After implementing G7, its accident rate dropped from 2.85% to 0.93%. Per million kilometers, this is a drop from 2.2 to 0.95 incidents. Unable to identify vehicle risks in real time High incidence rate Unsatisfactory results from visual monitoring by Quality Control personnel Weak KPI assessment system (1)Management Transforma- tion Starting from the Quality Control Department down to the fleet manager, G7 clarified the division of labor. Quality Control is responsible for real-time risk monitoring, while Fleet Management is responsible for identifying and resolving monitoring transport anomalies. (2)Assessment All fleet managers are measured on their rates of high- and medium- risk incidents. (3)Shortened Feedback Loop G7 enables immediate identification of improperly disconnected vehicles. In addition, drivers have personalized training steps to driving improvement. (1)Continued decline in accident rate (2)Accidents per million kilometers conti- nues to decrease (3)Reduction of total "high-risk" driving time (vehicle/minutes/month) 2.85% 2017.10 2017.11 2017.12 2018.1 2018.12017.10 2017.11 201.12 2.2 2017.10 2017.11 2017.12 2018.1 1.8 1 0.95 2.82% 1.67% 0.93% 57% 56.6% 67% ResultsSolution Case Study: Leading Global Express Company Management Pain Points
  • 20. ADR Industry ADR Cargo Transportation Safety Management Technology Pyramid Autonomous vehicles Method AI Autonomous Driving Safety Big Data Advanced IoT Technology Basic Location Information Advantages Self-running equipment Rollover map 1.0 2.0 3.0 4.0 5.0 360 x24hr monitoring of all process (e.g. loading and unloading) with robots. No human involvement required. Full network security management. Significant reduction of management costs. Visualization of the whole transportation process, real-time management and monitoring Constant improvement of the accuracy of speed and trajectory. Strict control of driving accuracy. Nationwide/Provincial-wide networked control of dangerous tankers, vehicles, and "Three Types of Employees" Safety monitoring and complete closed loop automatic control Safety files of "employees" and tanker data Remote loading/EBS rollover prevention/Smart tanker GPS/Beidou/Electronic Fence
  • 21. For the ADR industry, G7's intelligent safety management program considers over 20 dangerous driving scenarios across three dimensions: drivers, vehicles and roads. It creates a closed loop of security management ranging from data collection to real-time monitoring, active intervention, and post-event management. Eyes Closed Yawning Smoking Mobile Use Absent From Cabin Photo Taking Voice Notification Distracted Driving Speeding Harsh Brake Sudden Acceleration Speeding Turn Driving in Neutral FCW (Forward Collision Warning) UFCW (Urban Forward Collision Warning) PCW (Pedestrian Collision Warning) LDW (Lane Departure Warning) Vehicle Usage Engine Operating status Fuel Consumption Rollover Alarm Rollover Cause Analysis Drivers Vehicles Roads Case Study: Leading Global Express Company
  • 22. This hazardous chemical transport company is engaged in oil and gas transportation. G7 provides an intelligent safety management solution to monitor, manage, and educate the fleet's drivers. Existing system only provides GPS location and video feed Risk judgment basis and daily management is based on single data source Too many vehicles to monitor at the same time (1)Adding Risk Dimension to Routes G7 telematics data is supplemented with risk data, such as identification of dangerous roads, highlighting areas of rollover incidence, etc. Drivers are forewarned when entering a risky area. (2)Fleet Assessment Through data analysis and modeling, G7 established a safety scorecard and report. Drivers or fleets can be ranked and rewarded/penalized accordingly. (3)Comprehensive Driver Supervision Through real-name verification against traffic databases, G7 is able to confirm the identity of drivers and know their driving record, ensuring that fleets are hiring the best talent. (1)Successful deployment of their fleet assessment system. (2)Reduction of vehicle incidences by 69%. Duration of high risk driving (average min/month/truck) ResultsSolution Case Study: Chemical Transport Company Management Pain Points 2017.10 2017.11 2017.12 2018.1
  • 23. Industry Pain Points Progression of Auto Transport Industry Stricter regulations on overloaded vehicles means reduced capacity of single-truck transport. Fleets are turning towards intermodal transport Lower transport capacity has lead to a dramatic rise in logistic costs Excess overhead and low efficiency Barriers in the industry. High rates of empty backhaul. A need for more effective resource integration solutions Insufficient services to meet the increasing logistics demands of end customers Auto Transport Industry At Present Near Term Future Low visibility. No real-time visibility Real-Time visibility of transport coverage Intelligent planning of logistics assets Integration across global logistics services Upgrade of the automotive logistics ecosystem Semi-automation, particularly in areas of process optimization Lean cost analysis Data-driven lean operations Focus on the service experience Manual planning and recording. Low efficiency Lack of service experience
  • 24. The G7 solution begins at providing a complete visualization of all assets in real-time. Adding a layer of data analysis and algorithm calculations, allows for integration and optimization with other entities in the transport value chain. Parts procurement, vehicle, after-market parts logistics Capacity matching, dispatching, in-transit monitoring, settlement, operation management and data analysis solutions Connecting OEMs, parts suppliers, carriers and custom- ers gives full visualization to each player in the value chain. Transparency improves user satisfaction and raises awareness of areas for improvement Auto Transport Industry Solution Visualization Platform Carrier Operation Management Data-driven Optimization Auto Transport Parts Supplier Carrier OEM Buyer Algorithm Engine IoT
  • 25. The customer handles all auto transport business on behalf of a domestic OEM. G7's solution provides visibility across the entire transport chain. In addition, management decisions have become data-driven based on G7 calculations. Long delay between event occur- rence and management knowing of the event Transport information is provided manually by carrier. Can not be independently validated Lower-than-expected profit margins. Urgent need to reduce costs and increase efficiency Customers complaining of poor service experience No means to analyze existing data Full-deployment of EMS, providing for real-time access to all transportation data Automatic data transmission at logistic nodes. Leveraging IoT technology Data-driven cost reporting Real-time information sharing Platform accumulates data and provides analysis Accurate data in real time Logistic nodes are updated in real time. Automated reports Better understanding and control of real costs Improved customer service experience Introduce algorithms, data analysis, and optimization to their business ResultsSolutionManagement Pain Points Case Study: Auto Transport Company
  • 26. Cold Chain Industry Current Industry Status Progression of Cold Chain Industry Blind spots in the order process At Present - Management is relatively behind, relying on carriers to report temperatures after the fact. There is lack of credibility in data, and virtually no real-time visibility. Near Term - Cargo-hold temperature transmitted real-time. Pre-set alerts for push notification. Shippers to specify monitoring equipment as basis for assessing carriers. Future - Full end-to-end temperature visibility and control during the entire transport process No unified platform for monitoring Reliant on manual dispatching No task automation Communication is inefficient Assessments are not KPI-data driven Lack of credibility scoring Lack of traceability in system Temperature safety hazards Multi-system Multi-platform Lack of Capacity Visibility Process is Manual
  • 27. Real-time position position Real-time cargo temperature Temperature Alerts Service reminders No task, no alarm Automated alerts when temperatures are out-of-range Reduction of human involvement Intelligent Refrigerated Trailer Intelligent Cooler Box Intelligent Refrigeration Units Identifying the right carrier Improving transport service capabilities Upstream and downstream collaboration Dynamic visualization of tasks Cold Chain Industry Solution Digital Vehicle Management Operation Automation Intelligent Temperature Controlled Assets Intelligent Capacity Matching G7 Solution
  • 28. The customer is one of the largest dairy consortiums in China. Lack of temperature visibility creates risks for food safety. Transportation process is opaque and rife with fraudulent sign-offs. Temperature management is not supported by real data Driver behavior is not easily managed Can not get control of real-time vehicle risk Delay or distortion in transport information. On-time delivery rate at 47% G7 is integrated with customer’s existing SAP system Orders are bound to vehicles and updated automatically Portable temperature monitoring units provided for temporary fleets Drivers equipped with mobile apps that update automatically Order location is monitored in real time Better control on late arrival rate, delayed deliveries, temperature and compliance Order Visualization On-time delivery rate improves to 95% ResultsSolution 温度达标率 准点率 订单量 Case Study: Leading Dairy Company Management Pain Points
  • 29. Shippers A. Traditional Optimization Traditional supply chain systems (e.g. TMS, OMS) deployed using original logistics equipment and existing data capabilities. B. Intelligent Logistics Newer technology allows for improved data capture and interpretation (e.g. trajectories, driver behavior). 1.0 Data Visualization 2.0 Automated Operations Visualization moves to automation. Sensors are able to detect vehicle and cargo damage. Improved maps allow for delay forecasts and mitigation. C. Device Upgrade Shippers improve their process efficiency by using latest equipment (e.g. containers, palettes). D. Supply Chain Restructuring Historically, the prioritization has been "goods first, customer second". With new sophisticated data and latest logistics equipment, this has reversed to "customer first, goods second". Traditional Optimization Device Upgrade Intelligent Logistics Supply Chain Refactoring Production and manufacturing logistics upgrade matrix Data New New Old Old Device Data Visualization Automated Operations
  • 30. Rich and comprehensive address database Planning route leveraging big data and historical routes Automated distribution of routes Machine learning Over 40,000 carriers registered on the G7 platform Shippers can choose to search, opt for automated matching, or resort to open bids Matching based on personalized transport needs Shipper Industry Solution Vehicle/Personnel Entry Authorization Queuing System Automated Identification at the Gate Loading Dock Matching Exit Authorization Real-Time Location of Vehicles Large Screen Displays Smart Park Intelligent Dispatch Asset Management Capacity Matching Automation Across the Logistic Park Improving cost efficiency in regional distribution Precise and accurate capacity matching capabilities Order Center ScheduledCa pacity Ad-ho c Capacity LTL Mounted In-Vehicle Device Portable Device SkyEye Tracking Device
  • 31. The customer handles auto parts distribution on behalf of a leading domestic automobile OEM. Tasks include milkrun and LTL transport. Inventory aging and lateness are KPIs. Characteristics: LTL+ Milk-run Requirements: high time-efficiency, late penalties Process tracking reliant on "off-plat- form" means (e.g. phone calls, wechat) Transport information manually updated. Generating daily reports requires resource time and energy 7 operators needed to track the 700 in-transit orders per day Customers complain of lateness Penalties on lateness exceed transport revenue Intelligent update at transport nodes Late delivery alerts automatically pushed to WeChat Device is attached to the paper return. No recycling costs 3PL and carrier enjoy transparent informa- tion sharing Increased work efficiency across 3PL, carrier, and transfer warehouse operators Daily business handled through the G7 system. WeChat and phone calls only used to handle one-offs such as damages to vehicles or cargo Significant decrease in lateness G7 data provides objective dispute resolution basis for all parties ResultsSolution Case Study: 3PL Auto-Parts Distribution and Transport Management Pain Points
  • 32. The transport of bulk commodity goods has its own unique challenges. Price spreads across location often lead to misrepresentation of delivery points, or outright theft. For such reasons, there are physical checkpoint and sign-off systems to carefully monitor each drop off point. From the monitoring site, transport managers carefully examine truck maps and route playbacks to ensure the proper flow of goods. These processes are highly inefficient, both from a cost and time perspective, and reliant on error-prone manual steps. Bulk Goods Transport Industry Industry Pain Points Bulk Goods Transport Model Means GPS + load GPS supervision mode Manual sign-off mode Basic economic forecasting Advantage Big data, automatic operation Track cargo handling, in addition to location Using GPS and electric fences to determine location and trajectory Manned checkpoints en route who verify and sign-off Fully-automated operation, leveraging big data and AI, both upstream and downstream More efficient than the 3.0 mode. Instead of monitoring all transport, manage by exception Tracking via single monitor. Easy to identify fraud but still not particularly efficient Useful and orderly, but labor-intensive, time-consuming, inefficient, and costly Planned and administered Simple, straight-forward and, effective but inflexible
  • 33. G7 has a proprietary for uploading load weight in conjunction with GPS position.. As a secondary measure, G7's mobile app allows photo upload to document a transport event. Collectively, this is monitored in a task management platform, a one-stop shop for all bulk good transport information. The result is lower labor costs as vehicles report their own status in real-time. Bulk Goods Transport Plan Bulk Goods Transport Plan Vehicle position determined by GPS Load sensors track weight and loading event Real-time status and data analysis Load and route compliance enforced by electronic fences Alerts provided in real-time
  • 34. A company's leadership in an industry has no bearing on a company's leadership in transportation. Large and small bulk goods companies alike still face issues such as goods displacement, management difficulty, and dealer complaints. G7 provided a flow control program based on "GPS+load+task". This tracked events with locations and unloading events, to provide a multi-dimensional transport picture. The transport process is opaque Review of manual signatures, is efficient High construction costs related to building roadside checkpoints Dealer complaints Lack of measurable assessments Automated itinerary generation Self-identification of loading and unloading events. Responsibilities are easy to track Transparent visibility throughout the journey Easy to identify where issues occur and who is responsible Fewer roadside checkpoints, lower costs Load curves undergo three-levels of audit. Bills are settled accordingly ResultsSolution Case Study: Leading Cement Company Management Pain Points
  • 35. Traditional region-to-city delivery is scattered, inefficient, and of poor quality. Advantages: Information transparency and resource integration. Disadvantages: High cost, poor service, and lack of scalability. By automating vehicle and cargo match- ing, fleets are able to create an integrated model between light and heavy commer- cial vehicles, both theirs and third parties', to better serve large customers. Traditional urban distribution relies on express delivery companies and retail outlets to manage their own deliveries. This is expensive and not timely. Advantages: Economies of scale Disadvantages: Poor customer experi- ence, lack of service consistency and general inefficiencies. Building a combination of networked own-delivery resources and outside delivery companies. Traditional Delivery Light Asset Vehicle Matching Platform City Express + Retail Delivery Model Cold Chain Industry Solving the B2B challenges between regional distribution centers to urban depots Solving the B2C challenges between urban depots to final delivery point Today Distributed and Micro Delivery Model Today Best of All Worlds Future Intelligent Vehicle and Cargo Matching FuturePast Past
  • 36. G7 offers tailored solutions for different customer needs End-to-end Distribution Solution: G7 provides citywide smart dispatch solutions which leverage G7's complete technology portfolio. Vehicles are tracked in real-time and all drive data is collected. Smart dispatching solutions match the best vehicles and drivers, while ensuring the optimized routes. An entire day of deliveries can be generated in minutes, improving distribution efficiency, and reducing transportation costs. On-site Solutions: With G7's big screen solutions, fleet managers are able to work through transport challenges remotely, and immediately. Warehouses also have timely and relevant dock and arrival/departure information. Peripheral Solutions: Beyond the truck, G7 offers IoT assets which are integral to the logistic transport process. Ranging from smart refrigerated display coolers, to smart ice chests, to smart palettes and forklifts, G7's product line of digitized assets allow for easy identification, tracking and allocating, not only improving efficiency, but encouraging reuse and waste reduction. Intelligent Dispatching Display Solutions On-site Solutions Peripheral Solutions Distribution Companies Citywide Distribution Smart Assets Upstream Cargo Owner Citywide Delivery Solutions Internal Cargo External Cargo Fleet Certification Vehicle Certification Intelligent Dispatching Maintenance Freight Electronic Receipt Ticket Bidding Task Delivery Vehicle Recommendation Vehicle Approaching Freight Advance Fleet Driver Arrival Vehicle Departure Petrol Card Solutions Lease Financing Credit Loans Line Price Loading Unloading Carrier Matching Platform Automated Operation Financial Services Downstream Capacity Capacity Pool Exception Handling Freight External Cargo
  • 37. A leading drink brand has its own distribution company. G7 was approached to replace their existing system where dispatch- ing was done manually. Records were stored on paper and all communication was done through phone operators. This had low efficiency, relying completely on manual dispatching, telephone tracking, and paper settlement. Delivery time windows were frequently missed and account management was messy. Manual dispatching inefficient Tracking vehicles through phone calls is opaque Inability to assess the veracity of driver's reasons for delay Distributor's account management is confusing Automatic dispatching, one-click ordering Full-monitoring of all vehicles Automatic receipt settlement Distributor's statement of accounts available online ResultsSolutions Case Study: Bottled Drink Distributor Intelligent Dispatch G7 Smart Rewards System for Drivers Large Screen Monitoring Management Pain Points
  • 38. G7 is the first system to use artificial intelligence and big data technology to create a smart accounting book for logistics fleets. This transforms traditional manually handled accounting into automated processes. Integrating with G7's Advanced Systems such as fuel management and financing, G7 Accounts Book fully empowers fleet managers to reduce costs and upgrade to the Smart era. Cost Analysis In-depth analysis of costs by vehicle, route, etc. Smart Routin Intelligent computing, self-learning Accurate Data Sensors, security, and permanent storage for peace of mind Data Integration Data from multiple sources can be integrated making G7 the one-stop shop for all fleet data Easy Accounting Costs and gross profit are calculated at the push of a button Automatic Data Acquisition Tracking fuel expenses and consumption, toll fees, and mileage G7 Accounts Book Innovative Fleet Management Six Advantages to G7 Accounts Book
  • 39. Additional Route Fees Re-fueling Data Fuel Consumption and Mileage Calculations One-Touch Summary Data is collected at seconds increments. It is then analyzed immediately using various calculation methods for long-distance, citywide delivery, and round trips. Engine data is pulled directly from the vehicle. G7 is able to calculate mileage, fuel consumption volume, and fuel consumption rate, both at moving and rest. External transport fees such as bridge and toll roads are also captured by the G7 system. When vehicles refuel, G7 records the time and amount, bringing together data from both the truck and the pump.
  • 40. More regional cards. More billing options. More areas for expansion. The G7 platform scales smoothly to meet the needs of every fleet. G7 Fleet Toll Card Services By understanding the key payment areas of the transport route for each customer, G7 is able to provide the best card solutions that meet the needs of each fleet. G7 provides payment terms ranging from 1-60 days, based on credit- worthiness of the fleet. The credit limit also ranges from 5,000 to 10 million RMB, alleviating the pressure on customers' funds. Combining G7's exit book, electronic invoice management, and optimal route planning, fleets can further optimize costs and increase efficiency for their customers.
  • 41. Being the technology center of a fleet, G7 has a pulse on each customer and understands what challenges each business is facing. With this data, G7 can support fleets by connecting with licensed financial institutions such as banks and logistics companies to provide the fastest and most suitable source of financing. The threshhold is low. Mileage speaks money. More miles driven means higher credit limit. Quick and easy process The process takes only three minutes. Two steps. One mobile phone. Instant verification with multiple fund sources Flexible payment options Mileage Backed Lending The initial credit limit can be as high as 500,000 RMB, sourced through various lenders. As the loan is paid off, the credit amount is immediately restored. Fleets can select the payment option that most suits their needs. Installments, early payments, delayed payments, are all viable options.
  • 42. Trailer EBS System T-Router Tire Temperature and Pressure Monitoring G7 Smart G7 Intelligent Trailer Equipped with features such as anti-lock and anti-rollover, this is the brain of the smart trailer Proper tire management not only prevents accidents, but also saves fuel GPS coupled with TEBS data provides a real-time snapshot of trailer and load safety
  • 43. Full map monitoring makes matching vehicles and trailers easy Digitized files once and for all Remote lockdown enables trailer swapping Tire temperature and pressure real-time monitoring ensures a safe journey Full Load Visibility Real-Time Alerts Rollover Prevention EBS Precision Control Active Intervention Identifying Rollover Risk Areas Rollover Countermeasures Optimizing Transport Safety and Vehicle Effectiveness
  • 44. Creating the next generation logistics ecosystem based on IoT + AI
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