We give supply chain leaders what volatility takes away — predictability, visibility and accuracy — at a fraction of the cost, with the highest ROI. One AI-powered platform turns your existing supply chain data into optimized, prescriptive decisions — forecasting, inventory, transport and S&OP, all at low cost. Better planning compounds. Mathnal's AI & optimisation engines help you unlock working capital trapped in excess inventory, poor forecasts and slow decisions.
Serving customers and suppliers across inventory, transport, production, warehouse, procurement & S&OP — with 6 AI products, 4 free diagnostic tools, and 15+ quantified case studies.
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10-dimension score: safety stock, ABC-XYZ, turns, aging, service level.
MAPE, bias, tracking signal. Find if forecasts help or hurt your plan.
Bayesian engine, 45 disruption scenarios, Monte Carlo, VaR analysis.
LP/NLP solver for cost, profit, resource allocation. Up to 50 SKUs.
Click problems on the left. Solutions appear on the right — all in one view.
⚡ YOUR PROBLEMS
✅ OUR SOLUTIONS
We have spent years building products, services and tools for exactly the challenges you face — stockouts, excess inventory, poor forecasts, high logistics costs, manual reporting, risk exposure and broken S&OP.
← Select your problem and we will show you the fix.
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KPI monitoring, reporting, Power BI
ML forecasting, bias correction
Autonomous agents, copilots
Production ML, deployment
Inventory, transport, production
IBP, scenario simulation
We build forecasting at every maturity level. The right model depends on your data, SKU count and planning process.
Moving averages, Holt-Winters, ARIMA, seasonal decomposition.
XGBoost, LightGBM with lags, rolling stats, promotions.
LSTM, GRU, TFT for multi-horizon demand at scale.
TimeGPT, Chronos, NeuralProphet — minimal data needed.
Forecasting Pipeline Architecture
Every company is at a different maturity level. We build solutions that match where you are today and grow with you.
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ML demand forecasting
Dynamic safety stock
15+ KPIs, Power BI
Autonomous AI agents
VRP, multi-depot routing
14-day early warning
Safety stock, ROP, ABC-XYZ, multi-echelon, SLOB management.
MPS, MRP, finite capacity scheduling, APS, Theory of Constraints.
VRP, CVRP, VRPTW, multi-depot routing, fleet sizing, last-mile.
Slotting, pick-path, wave planning, capacity and labour planning.
Spend analytics, should-cost, sourcing optimisation, supplier risk.
Facility location, DC-store network, centralisation vs local trade-offs.
Consensus forecasting, scenario simulation, IBP, demand-supply matching.
From discovery to continuous optimisation — structured, sprint-based, with weekly demos.
We integrate with your existing ERP, databases and cloud infrastructure. No rip-and-replace — we build on what you have.
ML forecasting: MAPE from 28% to 12%. Safety stock freed $3.2M working capital. OTIF up 6 percentage points.
Read case study →Inventory optimisation across 50,000 SKUs. ABC-XYZ segmentation + dynamic ROP: excess stock reduced 22%.
Read case study →VRP route optimisation for 1,200 daily deliveries. Logistics cost down 12%, on-time delivery 98.5%.
Read case study →Professional training from India's specialist SC AI company. Live cohorts, corporate batches and university partnerships.
Supply chain AI analysis, case studies and Python tutorials. Free, monthly.
Whether you need a diagnostic, a product demo, a consulting engagement or a training proposal — we respond within 2 hours. Tell us what you are working on and we will suggest the right approach.