Artificial Intelligence can have a transformative impact on supply chains. Understand how AI can drive high precision operations, accurate decision making and hassle-free service. Build a resilient supply chain that can respond to fluctuations in demand and supply patterns.
1. Reimagine supply chains with Artificial
Intelligence
Vibhanshu Abhishek
Chief Data and AI Officer, RIVIGO
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Disruptive Trends redefining Supply Chains through AI
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
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Data is the new oil
Revolutions per
minute
IoT Sensors
Battery Speed
Fuel
Value
Air Brake
Pressure
Coolant
Temperature
Engine
Oil Pressure
Location
Ignition
Status
Instrumentation of
Rivigo’s fleet enables us to
gather 65,000 data
points per second
Source: Rivigo analysis
Supply chains generate enormous data which if captured and measured can lead to efficient supply chain design
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Fuel Pilferages Mileage Improvements
IoT Devices
GPS and Fuel Sensor
Intelligent Data Modelling
Over Fuel Data
Real Time
Pilferage Alerts
Fuel efficiency
improvements
20-30%
Fuel sensors help achieve 100% pilferage control and bring upto
30% improvement in fuel efficiency
Pilferage Control100%
Self learning algorithms work on real-time
sensor data
Source: Rivigo analysis
Cost Optimization
Cost reductions2%
Mileage of 32 Ft MXL vehicles (KMPL)
Time
Mileage
Algorithms analyze data to generate
insights :
• Smart Refueling by predicting most optimal
filling location leveraging price differential
across states
• Pilot-level analysis based on 20+ parameters :
• Driving Behavior
• Vehicle specific
• Pilot profile
• Load specific
• Environment
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With fuel data leading to new cost optimization opportunities
Patented fuel algorithms for
detecting fuel pilferage events
Dynamic fueling algorithm for cost
optimization
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Play Video
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Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
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Disruptive Trends redefining Supply Chains through AI
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Robotic Process Automation (RPA) can replace 50% of
the activities performed by humans
What is RPA?
The impact of RPA on supply chain & logistics
Estimated worldwide
sales of warehousing &
logistics robots by the
end of 2021
$ 22.4 Bn
Companies will use RPA
by 2019 to automate
support tasks.
Key Insight: Tasks, not
jobs are being automated
72%
Retail & consumer
products suppliers
already engaged in
some form of intelligent
automation
40%
Ø Process of automating business operations
Ø Software or hardware bots mimicking human actions
Ø Performing a sequence of operations without human intervention
Industry Reports
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With plenty of implementation opportunities across supply
chain functions to collect quality data
Cashless payments
& e-documentation
Shipment scheduling
& tracking
Warehouse
management
Transparency of
Billing
Customer relationship
management
High precision
Operations
Accurate
Decision
Making Vendor onboarding &
management
Hassle free
Service
Supplier performance
evaluation
Budgeting & RFP
generation
Seamless end-to-end
visibility of cargo
Auto-Inventory
procurement
ChatBots for query
resolution
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High precision enables error-free operations through RPA based
predictive modeling
Box-level tracking of packages Algorithm-powered placement
Screenshots from Express Cargo App
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Seamless customer experience delivered by end-to-end process
automation (1/2)
Single-click booking Live tracking with notificationsInstant documentation
Live status visibility of all shipments through the
journey
Instant proof-of-deliveryRequest pickups at the click of a button
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Seamless customer experience delivered by end-to-end process
automation (2/2)
Pilot Assistance via Chat bots for resolving tyre burst incidents
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Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
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Disruptive Trends redefining Supply Chains through AI
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Dolor Dolor
65% 50%
Reduction in lost sales due
to product unavailability
Reductions in overall
on-hand inventory
Reduction in
forecasting errors
40%
Savings in warehousing
related costs
DEMAND
FORECASTING
PROCUREMENT
CAPACITY
PLANNING
SMART
WAREHOUSING
ORDER
REPLENISHMENT
ORDER
FULFILLMENT
STRATEGY
Benefits from AI-based decision making
Managing uncertainty in supply chains for smarter decision
making
50%
Source: Mckinsey
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Predictive Maintenance
• Vehicle vitals data like engine temperature, oil
pressure etc. analyzed
• Anomaly detection in last 200km distance travelled
• Identify vehicles with high probability of breakdown
• Predicting future demand for optimizing network
flow and efficiency
• Helps balance the network, enabling maximum
demand to be fulfilled in shortest feasible time
• Identify patterns from demand variability across
days, weeks, months, and years
Demand Predictions
Enabling organizations to build proactive supply chains
82% accuracy in predicting breakdowns
Annual Savings of 2.5 crores
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Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
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3
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Disruptive Trends redefining Supply Chains through AI
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Transparent supply chains improve visibility across stake holders
for better control over productivity and costs
National Freight Index Remote Temperature ManagementClient Portal
Price Location Temperature
• Real-time tracking of 7 million lane and truck
type combinations
• Indices across 150 combinations for deriving
mega-trends
• Customized client portal that offers real-time
visibility and tracking of the vehicle
• Raise pick up requests and reconcile bills, for end-
to-end tracking
• Two-way monitoring system to remotely view
and control the temperature of fleet
• Elimination of dependencies to maintain
temperature integrity
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Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
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Disruptive Trends redefining Supply Chains through AI
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ML and behavioral economics will make logistics safer
Driving Ustaad Computer Vision: Second
pair of eyes
• Real-time visibility of whether driver is
focused while driving
• Advanced Driver Assistance System
(ADAS) that alerts if driving conditions are
unsavory or approaching accident prone
areas
• Driver profile creation by advanced
algorithms
• Personalized pilot training with tip-
cards based on past performance
Zendrive uses sensor data to
understand driving behavior, like when
and how safely they’re driving
Eyesight, and YI Technologies use
cameras that track driver behaviour
in the truck cockpit with edge-
based computer vision
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Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
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3
2
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Disruptive Trends redefining Supply Chains through AI
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Future of Logistics is technology led
Autonomous Trucking
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Blockchain Drone Delivery
Blockchain enabled supply chains support
transparent, secure and faster operations
Unmanned aerial vehicles (UAVs) used for last
mile delivery
AI guided systems will power full and semi-
autonomous trucks in the future
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With Autonomous trucking to play a crucial role is shaping the
logistics ecosystem
Play Video
Long haul
Short haul
Autonomous trucking
Pitstop 2Pitstop 1