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Transportation Control Tower
1. Goal: Provide logistics intelligence resources in real time, aiming to increase quality, productivity and cost savings through better
traceability automation and less dependency to manual actions and inputs during operations.
Applications:
Ø Road operations based on fleet of trucks, buses and utilities.
Ø Internal and external Operations - loading and unloading in factories, logistics sites, retailers, wholesalers, etc.
Ø Field Sales and technical assistance operations, based on vehicle fleet and / or other mobile devices.
Ø Transportation risk management required by the Insurer (cargo policy).
Transportation Control Tower for Real Time
Management
2. 2
Challenges in Logistics Market
limitations of
infrastructure (Brazil and
Latin America)
Low capacity in
Prevention
SLA x Undisciplined
Market
§ modal bottlenecks:
§ restrictions of Infrastructure
§ growing of cargo theft
§ Outsourcing:
§ Difficulties to integrated control
§ Reaction to the failures:
§ generate rework and delays
§ generate penalties and customer dissatisfaction
§ generate higher operational costs
§ reduction of contribution margins
§ Low fidelity
§ Demand Prediction restricted
§ frequent capacity overflows
§ Very fragmented Orders
§ A lot of exceptions and contractual conditions
How to differentiate
my business
competitively?
3. 3
§ At change are increasingly more frequent and less
predictable.
§ Greater need for make decisions in real time.
§ Most demanding Customers (demands are more
personalized)
§ Greater reliance on Supply-Chain (Integration and
collaboration)
§ integrated visibility operational information for
improve decisions.
§ Warranty on integrity, unity and security on real-time
data.
§ > tax and regulatory pressure (SOX, ISO 14000,
etc).
§ # Failures and response times reduction.
§ Prevent incidents and interruptions
Why the Operational Control Panels are increasingly critical?
+70% of management problems
are unrelated to the Strategic settings,
but to implemention and operation failures.
Fortune Magazine
Flexibilize
change
To monitor
indicators
Operator
Controller
4. 4
The Manager transport need go along
Operation in real time
Ø monitor metrics business in different dimensions
v Cost, Time and Resources ...
v scorecards implemented through visual indicators
Ø Use of Resources Operational Intelligence and
Management
§ Create and customize rules expeditiously.
§ Automatically detect events and generate alerts.
§ Real-time visibility Indicators.
Ø Monitor and improve process flows.
§ To eliminate redundancies or inefficiencies
§ Identify bottlenecks - balance workload
§ Increase punctuality and reduce latencies
§ Minimize penalties
Larger
preventive
and
Proactive
Capacity
6. 6
Rules Engine
Event Detection
BD georeferenced
TCT
Solution
CRM
ERP
TMS
spreadsh
eets
Data from
Customers
Data from
Vehicle, driver
and Carrier
Data from
NC (OFF)
Scripting
packing lists
uploads
contracts
IntegrationandDataLoad
Load Originator
Driver
Supervisor Carrier
Load Receiving
Mobile interaction
Capture Real Time
Trackers
Sascar
BlackBox;
OnixSat;
Omnilink;
Controlloc;
among
others...
transponders
RFID, etc
Solution
TCT- Transportation Control Tower
InteractionwiththeTower
tower
Control
alerts
Notifications
BD georeferenced
7. 7
• Offered as cloud service, there is no investment in software licensing and acquisition or in infrastructure.
• The engagement is based on pre-established service level (SLA).
• IoT based on third parties crawlers (Sascar, Omnilink, etc).
• Integration with all vehicle tracking services.
• Easy integration with other existing solutions (ERP, TMS, SCM, marketplaces, B2B, eCommerce, etc).
• Graphic interface oriented to simple and fast adoption with user capabilities on mobile devices.
• Analytical capabilities to create operational dashboards.
• Based on Geo-referenced database and supported by cartographic and photographic mapping of
highways, railways, etc (Including Google maps).
• More accurate location because the geo-referencing considers perimeter and distance.
• Monitoring polygonal areas modeled graphically and dynamically in the digital map.
• Simple and fast Implementation. Easy adaptation in case of specific information requirements.
Technical Characteristics
8. 8
ResultsDischargeTravelCharge
control of the target process in real time (transport)
optimization
of routes
• Position of Orders and
Deliveries
• Position of Daily rates
• Position of Fines
• Operational Reports
• KPIs: (Dashboard)
• Reports for Insurance
• Guarantee and respect
time limits and
scheduling.
• Accusing delays and
penalties.
• Speed discharge and
pending resolution of
the delivery.
• Provide better visibility
to the customer.
• real vision of re-
supplies and returns.
• Identify offways
• Identify unnecessary
stops or not scheduled
• Avoid travel risks
(flooding, fines, etc).
• Register incidents.
• Get real-time
collaboration with the
tower.
• Provide better visibility
to the customer.
• Guarantee and respect
limits and schedules
times.
• Accusing delays and
penalties.
• Prepare quick and safe
discharge through QR
Code
• Set optimized routes
(smaller)
• Respect restrictions
routes (Contract)
• Identify safe areas
(<incidents)
• Identify temporary
interruptions routes (road
repairs)
9. 9
Ø Routes optimization.
o The starting point is the planned routing
based on forecast deliveries in the short term.
o Considers points stops and emergency
restrictions, agreements and other restrictive
inputs.
ü prohibited roads, hazardous areas, timeouts, etc
ü impassable roads, deviations, incidents, etc.
Functional Characteristics
10. 10
Ø Internal Controls in Loading and
Unloading:
• Agile and flexible mapping of control
points (Arrival, Balance, Charge /
Discharge, Fiscal Office, etc).
• In agricultural sites, these control points can
be collection areas, silos, etc
• configuration fixed routes and speed
limits within the landing site.
• automatic generation of alerts
preventive and corrective.
• Programming and verification times by
control point.
• proactive information generation for
collection of fines (Carrier) and daily rates
(Shipper).
• app Mobile (mobile) - Use of QR Code and
Code Bars for guiding the loading / unloading
vehicle on respective discharge points.
Functional Characteristics
11. 11
Ø Mobile app:
• It offers visual query of deliveries
considering packing list / order, id. driver
or vehicle plate.
• O app also works offline, that is, It stores
the operating data for later timing until the
connection is reestablished.
• It supports the recording of incidents by
the driver.
• Allows mapping routes defined by driver
(suggestion submitted to the tower).
• It sends and receive notifications and
alerts to/from the control tower.
Functional Characteristics
operators
drivers
Customers
Tower
12. 12
Ø Travel controls :
o route deviation alert
o unforeseen stop alert
o Arrival and departure time alert at
the load / unloading point.
o Penalty (fines) or daily rate Alert
o Incident Alert
Functional Characteristics
16. 16
• To the Shipper:
• The route optimization generates reduction of kilometrage per vehicle.
• The solution indicates and supports the execution of penalties for noncompliance (carriers).
• The greater punctuality and productivity generates a greater number of deliveries per vehicle and so it reduces the
required number of vehicles in operation.
• The solution offers a differentiated customer experience through visibility and real-time notifications, generating
customer satisfaction and retention.
• It offers better resources to Risk management, aimed to accidents prevention (Insurance).
• Integration with all tracking services enables online visibility of the entire fleet, regardless of the technology used in
vehicles.
Proven benefits
17. 17
• To the Carrier:
• Higher productivity leads a labor costs reduction (overtime, daily rates and additional) and fleet expenses reduction
(fuel, tire, wear on the vehicle, etc.).
• The solution indicates and supports the charging for loading / unloading delays (daily rates).
• The Integration with all tracking services enables online visibility of the entire fleet, regardless of the technology in use
in vehicles.
• It generates greater contracting fidelity by the shippers (customers).
Proven benefits
18. 18
• To the Risk Management:
• Less probability of monitoring failures, therefore it mitigates the risk of financial burden to the insurer.
• Reduced need for human resources (monitors) in the management team (Cost Reduction).
• Compulog proactively draws risk management through omnichannel alerts that can be scaled in case of inoperability
(scalating workflow).
• Higher quality of information generated by risk management to the transport operation.
Monitoring Robots
Control Tower
Automatic
Alerts
Proven benefits
20. 21
• Problem:
• Operation with 30 trucks burdened by ill-planned routes and unproductive deliveries.
• Solution:
• Route optimization analysis.
• Delivery routes monitoring (offways and stops).
• Results:
• Distance reduction: 16397 Km (routes), generating monthly savings (R$ 8198,00)
• Delivery Productivity increasing (from 4 to 6 deliveries per truck), It reduced the fleet demand to 27 trucks
Client: Lebes Stores
21. 22
• Problem:
• Inbound operations at automakers (Mercedes and GM)
• Difficulty controlling and charging daily rate expenses due to delays in loading and unloading.
• Operational losses (unplanned deviations and stops, additional fuel consumption, etc.).
• Solution:
• Tracking of routes, schedules (arrival / departure) and times (load, route, unload)
• Automatic triggering of alerts for extra daily charges.
• Results:
• Increase in revenue per truck (Daily rates).
• Reduction of operating costs and labor charges (overtime and night overtime)
• Greater punctuality and customer satisfaction
Client: JSL – Júlio Simões
22. 23
• Problem:
• Improproductiviity in discharging operations at SBC factory (production warehouses).
• Delays in supplier deliveries compromising production just-in-time
• JSL Fleet.
• Solution:
• Mapping of control points in the georeferenced polygon of the factory.
• Control of scheduling of inputs and outputs (supplier and factory).
• Monitoring of supply routes of each supplier (deviations and stops).
• Results:
• > Punctuality and productivity in factory inbound
• Reduction of trucks and times in operations (by warehouse of supply).
Client: Mercedes-Benz
23. 24
• Problem:
• Passive labor, overtime and nighttime hours of drivers and helpers.
• Operating 75 trucks in FEMSA
• Solution:
• Monitoring of routes, schedules (input / output) and times (charge, travel and discharge)
• results:
• Reduction of R$ 15,000 / day in the first month of monitoring
Client: Schio Shipping (Purchased by JSL in Dec / 11)
24. 25
Negotiated price
according to client;
Payment monthly
per trip, per vehicle or
asset monitored;
Price SaaS Service ( "Software as a Service")
25. 26
Proof of Concept
We are able to prove the effectiveness of the
solution through the following approaches:
• Try & Buy - We can provide the solution to "Full“ use for
a while, considering a specific operation and a sampling
of fleet and control objects.
• Backlog Analysis - If there is a georeferenced operation
backlog, we can perform a previous diagnosis of the
power gains with solution adoption.
26. 27
Additional Services
• Process Review Consulting (Transportation Management) - 2 weeks
• Deployment (adoption follow-up) - 2 weeks
• User training - 1 day
• User Support service - by call solved
• In Portuguese and Spanish (July / 17)
• Development of specific functionalities (bespoke).
• Based on Hours estimating (project)
New
27. 28
Why deploy this solution?
Fast return on investment through
effective savings achieved through better
resources to manage the logistic
operation.
(Spent)
28. Thank you!
Obs .; This is a generic presentation and does not
aims to meet specific demands of a customer