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Building centralized data lake in integration with ERP(SAP) and Transport Management Systems(TMS)
FMCG and Logistics Giant
Intelligent ML models to enhance vehicle's range prediction accuracy
4-Wheel Electric Vehicles Manufacturer
Processing a variety of documents with high accuracy and low latency at scale
Financial Services giant
FMCG and Logistics Giant
Building centralized data lake in integration with ERP(SAP) and Transport Management Systems(TMS)
Customer is an FMCG and logistics giant. Cost incurred on moving goods from primary site (manufacturing plants) to warehouse, distribution points and end customer depends on various factors like Ship method(road, rail, air, water), Fuel prices, Weight of the shipment, Distance, Carrier capacity, Demand & supply and Shipping service (spot contracts and long-term contracts)
Key Characteristics
Centralized cloud-based system / data lake with an ability to connect with ERP(SAP), Transportation management systems(TMS) and partner systems
Find cost anomalies for better negotiations and cost control with carriers
Ability to predict freight cost for customer orders
Challenges
Manage the entire shipment navigation control system in a single dashboard.
Individual-depth details screen for each cargo product at each level.
Send an alarm to the appropriate authorities, along with a management solution.
Gathering data from various sensors around the desired containers and update it on a regular basis.
Results
Overall transportation cost optimization of up to 3%
100 % transparency and visibility across logistics channel
Analytics, reports and dashboards for better decision making
Achieved over 80% reduction in logistics services contracting lead time