Technology Driving Change in Logistics
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Transcript of Technology Driving Change in Logistics
Logistics in India is entering its ‘Decade of Change’
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Logistics market is growing at 1.5 – 2.0x of GDP Huge market opportunity in reducing inefficiencies
Key drivers for growth
270
300
2016 2020
Logistics market size in India (US$bn)
Indian logistics market to reach US$300bn by 2020
14%
9%
India Developed nations avg.
% of GDP spent in logistics
Reducing logistics inefficiencies is a US$50bn market
US$50bn
• Increased Government investment and focus on infrastructure and smart systems
• Rise of India as a manufacturing economy
• Introduction of GST – removal of regulatory hindrances to free flow of goods
• Rise of e-commerce
• Increasing levels of digitization and technology adoption by traditional players
5.6
15.0
2016 2020
422
860
2015 2020
Data analytics is fast penetrating the Indian market
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Analytics market set to grow 8 fold in next 10 years Workforce analytics will be a major driver for growth
2016 2025
US$
2bn US$16bnCAGR: 26.0%
Analytics market in India Indian workforce analytics market (US$m)
Increased penetration of IoT market
IoT market in India (US$bn)
Key drivers for growth of analytics market
• Customer expectations driving change in industry
• Tech enabled players are challenging the statusquo
• Positive change in management perceptions
• Huge systemic inefficiencies to be addressed
• Rise of IoT, need to utilize this data effectively
ROI For Analytics Platforms
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• Maximize operations of assets (trucks, wagons etc) by reducing turn-around-times, efficient routing etc
• A truck that could earlier do 4 trips / week can now do 6 (depreciation spread over a higher no, of trips)
ASSET UTILIZATION
• Increased visibility, centralized information management, decreased data entry requirements, smart systems
• Executives who would trace shipments via phone can now track multiple vehicles on the same screen
WORKFORCE UTILIZATION
• Added resource and employee efficiency allows exploration of new business ideas at no additional cost
• Customer booking portal (first mile) set up for client with no additional manpower / resource (bikes) investment
ENTRY INTO NEWER BUSINESS LINES
How Shipsy Creates Value For Customers
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Real time alerts
based on user defined
metrics
360⁰ visibility over
operations and
resource utilization
Data driven insights
using a dedicated
analytics platform
Highly customizable
dashboard for diverse
business use cases
Shipsy taps ambient data to provide you with real time visibility and decision making ability
Existing Product Suite
All parts of our product suite are modular and clients can opt for any modules based on requirements
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INTERACTIVE VISUALISATION
Dynamic charts allow easy manipulation of
data, drill down on metrics of users’ choice
CONTROL TOWER
Allows asset tracking, route optimization,
TAT management and pre-emptive alerts
REAL TIME ALERTS
Benchmark performance at hub or asset
(rider, truck) level based on certain metrics
ACTIONABLE INSIGHTS
Regular reports, system generated alerts
and exceptions aid business decisions
Predictive & Prescriptive Analytics
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Case Study: Reducing Fraud Updates By 45%
• System checks if actual location and location of update match
• Check on whether a call was made to customer or not
• Many updates from single location, addresses don’t match
• Operations manager gets an alert if update is suspicious
SOLUTION
• Delivery boys make fake updates that impact customer experience
PROBLEM
• Introduce additional layer of visibility to reduce fraud and increase performance
ROI
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Case Study: Strict Adherence To ETAs
• Real time alerts to operations managers for any deviation from expected TAT
• Fuel data taken into account, if a refilling halt would be required
• “No-entry” times accounted for (30 min delay may be 3 hrs of effective delay)
• High priority vehicles (less time tolerance) tracked at different frequency (actively)
SOLUTION
• Constant follow up with drivers on their whereabouts is tough
PROBLEM
• Increase asset utilization, reduce idle time, enable reliable supply chain planning
ROI
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Case Study: Inform Customers Before They Ask You
• Individually defined time intervals for milestones along the ideal route
• Hub managers are notified so that they can plan subsequent dispatches
• Clients are notified actively and preemptively regarding predicted delays
SOLUTION
• Pre-empting clients and operations managers on possible delays
PROBLEM
• Increasing predictability for supply chain, increase customer service levels
ROI
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Case Study: Transporting Perishable Goods Efficiently
• Temperature range breach alerts are created for temperature sensitive goods
• Destination hub is informed which helps them in understanding the extent ofQA to be performed
SOLUTION
• It’s difficult to plan quality checks for temperature sensitive/perishable parcels
PROBLEM
• Data driven quality check for perishable goods, empower new business lines
ROI
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Case Study: Performance Based Driver Profiling
• There are many metrics and KPIs that would be defined for all the truck drivers
• Mileage, idle times, red flags (ignoring calls etc.), detours and more
• Driver is benchmarked based on these user defined business specific metrics
• Peer group analysis; historic analysis to see trends over time
SOLUTION
• Constant monitoring of drivers and their performance is tough
PROBLEM
• Data driven compensation and performance review,
ROI
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Case Study: Vehicle Profiling To Maximise Utilization
• Inactivity alerts are generated for vehicles
• Mileage, turn around times and other metrics used for benchmarking
• Historic data is analysed to see hotspots, client locations, strategy failures,problematic routes, drivers, vehicles
SOLUTION
• How do you ensure that all your assets are being utilized effectively?
PROBLEM
• Increasing the utilization of the asset through a data driven approach
ROI
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Case Study: Enabling Reverse Logistics Capabilities
• Extending workflow management tool and mobile application functionalities
• Allotting reverse pickups with forward deliveries to fully utilise existing resources
• Real time alerts to ensure timely pick-ups and enhanced service levels
SOLUTION
• Client wanted to enter the fast growing reverse logistics market
PROBLEM
• Fully digitized reverse logistics capabilities in operation
ROI
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Case Study: Expanding Into Hyperlocal Delivery
• Use open APIs to flow client order requests directly to operations dashboard
• Real time rider tracking used to allocate requests to unutilized riders nearby
• Uberized allocation of resources based on demand hot spots
• Data driven insights into peak load timings, locations etc
SOLUTION
• Utilize existing resources to tap hyperlocal delivery market
PROBLEM
• Leverage existing resources to add new capability with minimum capex
ROI
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