Radix Analytics Pvt Ltd
  • Forecast error & bias: promos/seasonality under-modeled
  • Working capital drag: one-size-fits-all policies, stale safety stocks
  • Planning misalignment: procurement–production–sales out of sync;
  • Factory inefficiency: excess changeovers, hidden bottlenecks, yield/quality losses, suboptimal plant locations
  • Risk & volatility: commodity swings, regulatory shocks, weak scenario planning.
  • Predictive AI/ML for demand, lead times, price trends, and quality.
  • Optimization models (linear, mixed-integer) for procurement, production, network flows, and inventory policies.
  • Simulation to stress-test designs and operating envelopes before you spend a dollar.
  • Decision software: APIs, data lakes, dashboards, and workflow apps that fit your tech stack.
  • Spare Inventory Optimization for Mining Corporation with 9 mines network
    • ~$80Mn (~20%) reduction in inventory value
    • a tailored ROP/EOQ policy—selected via an ML decision tree over demand profiles while maintaining SLAs, and reduce ordering/holding costs as policies updated the MRP master
  • Procurement & Production Planning for Global Cocoa Manufacturer
    • stock reduced from 24 to 7 months with zero unusable stale beans
    • an integrated annual/monthly/daily plan
    • minimized purchase, transit, and holding costs while respecting quality specs
  • Freight Pricing for Energy & Logistics Solutions Company
    • achieved ~95% accuracy on OD-date-equipment quotes
    • an ensemble of ~500 models, governed by lane-aware selection rules and deployed via MLflow
    • equipping agents to post competitive load-board fares, even on sparse lanes
  • Petrochemical Price Forecasting for Independent Commodity Intelligence Services
    • forecasting models with >95% accuracy
    • combined uni/multivariate approach including a Market Sentiment Index
    • 1–12-months outlook and driver insights for planning and hedging
  • Lower working capital with service levels held or improved.
  • Faster, feasible production plans that respect business constraints.
  • More consistent, explainable pricing decisions in thin data environments.
  • Better hedging and procurement timing with credible price signals.

If you’re wrestling with inventory bloat, opaque logistics pricing, or fragile planning cycles, let’s turn your supply chain into a decision-ready engine.