Sales & Inventory Engine

Predict demand 8 weeks ahead by integrating real-time marketing signals into your inventory planning. Launch campaigns and restocking in sync and never lose a sale to an empty shelf, never mark down overstocked inventory. → −5 to −10% stockouts  /  +3–5% incremental revenue  / −15% dormant stock → 8 weeks: Integrate → Calibrate→ Predict

A full stack AutoML pipeline ingests historical sales, promotions, weather, and web-trend data to predict store- or SKU-level demand. Dashboards surface buy/hold/reorder actions, while API calls feed ERP, OMS, or marketplace tools.

Benefits

  • Precise allocations shrink lost sales and tied-up capital
  • Dynamic dashboards for merchandisers and finance alike
  • Scenario planning for promo or price changes
  • Cloud FinOps keeps GPU costs predictable
  • How it works

  • Data sprint to clean and unify sales & external signals
  • Train ensemble forecasting models; back-test against last 24 months
  • Push recommendations via APIs; monitor accuracy daily
  • Quarterly model refresh and elasticity recalibration
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