Platformatory | Forward Deployed Engineering Firm: Data, AI & Modernization

Case Studies Retail / eCommerce

Large Asian retailer (eCommerce)

Control Tower Operations: Supply Chain Optimization

Control-tower operations for last-mile fulfillment—manpower allocation and re-allocation. WMS and bespoke sensor/tag integration for SKU-level tracking; Pinot real-time MVs for delivery-throughput baselines; decision nudges to warehouse operators.

  • Product Engineering
  • AI/ML
  • Data Platform

Apache Kafka · Apache Pinot · Kafka Connect

  1. Customer

    A large Asian eCommerce retailer running last-mile fulfillment at scale. Warehouse manpower allocation and re-allocation decide whether throughput holds under live demand.

  2. Challenge

    In last-mile fulfillment, operators needed timely decisions on manpower allocation and re-allocation. WMS state alone was not enough. SKU-level movement, sensor/tag reality on the floor, and predictive baselines for delivery throughput had to reach operators as nudges—not after-the-fact reports.

  3. Work

    Built control-tower operations for supply-chain optimization in last-mile fulfillment. Integrated with the WMS—including bespoke sensors and tags—for SKU-level tracking. Predictive analytics on last-mile delivery throughput baselines, surfaced as decision nudges to warehouse operators.

    Kafka and Kafka Connect (plus custom connectors) into the warehouse and sensor path; Apache Pinot for real-time materialised views.

  4. Impact

    1. Control-tower path for manpower allocation / re-allocation in last-mile fulfillment
    2. WMS + bespoke sensor/tag integration for SKU-level tracking
    3. Pinot real-time MVs for delivery-throughput baselines; decision nudges to warehouse operators

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