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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

DataNodes

Turning Data into Destiny

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