Finite-capacity feasibility
Line, machine, tooling and workforce are checked together against a real capacity ledger, not a static capacity view.
iForecastPlan works out demand and feasibility once. Every other module reads those same numbers, so your plans stay in sync instead of drifting apart across a dozen spreadsheets.
It is modular, so you start with one capability and add the rest when you are ready.
A ₹2 part shortfall puts a ₹5.0L order at risk on Thursday.
Built for teams that plan supply and demand
Demand and feasibility are computed once. Every team works in their own view, yet they all read and write the same plan, so your numbers never drift apart. Hover a team to see how it connects.
Planners, buyers, the floor, quality and finance each get their own view of the same plan.
A change in one team propagates everywhere at once. No version wars, no month-end surprises.
Bring on another team's module whenever you are ready. It plugs straight into the same spine.
Switch between modules to see how the spine shows up across the planning lifecycle.
AI forecast against actuals, with MAPE, intermittency routing and seasonal-shift sensing.
We match the single-source-of-truth idea of the enterprise leaders, then go deeper where planning teams actually feel the pain.
Line, machine, tooling and workforce are checked together against a real capacity ledger, not a static capacity view.
An ensemble of models with intermittency routing, cross-validation and data-quality grading. Every prediction can be explained.
Quantile safety stock places inventory where service needs it across echelons, well beyond a flat days-of-cover rule.
See how a ₹2 part stops a ₹5-lakh order. Risk shows up in money and service, ranked, so you fix what matters first.
One screen brings 10+ engines together for any SKU across demand, supply, cost, quality and risk, so planners stop tab-hopping.
Multi-currency and multi-site by default, with India-native logic such as ₹ costing, regional calendars and Factories Act rules.
Drop in CSVs or connect Tally, SAP B1, NetSuite or Dynamics.
Demand and feasibility are worked out once and shared everywhere.
Branch a what-if, then compare the KPIs side by side.
The control tower turns every alert into a ranked, costed action.
Reports tell you what happened. iForecastPlan proposes what to do next, inside a safe scenario, with the financial impact attached and a planner in control.
Copy-on-write overlays make every what-if cheap. Branch, compare, then commit to base.
Agents call your engines as tools and propose actions that pass margin and capacity checks before anything commits.
Worklist, SPC, stock and supplier risk in one queue, each with a one-click simulate fix.
"We stopped arguing about whose number was right. There is one plan now, and when a supplier slips we can see in rupees what it costs and what to do about it."
Your plants, warehouses, suppliers and clients on a live world map. When a global event hits, iForecastPlan traces where it lands and what it costs. Pick a signal and watch the ripple.
Reroute two export lots via Mundra and pull Kanpur safety stock forward.
A modular planning platform with a single source of truth. It covers demand forecasting, supply and inventory, S&OP, scheduling and a control tower on one data model. You license the modules you need and add more later.
No. Any business that plans supply against demand can use it, including retail and distribution, pharma and healthcare, consumer goods, and logistics. We do happen to have unusual depth on the factory floor, which manufacturers value.
Yes. Many teams begin with forecasting or inventory alone. Because every module reads the same spine, turning on the next one is a switch, not a project.
Most teams start with a CSV and reach a trusted plan in a few months, with no rip-and-replace. You keep your ERP and add connectors over time.
Send us a CSV of demand, supply and capacity. In a 30-minute working session we will stand up your spine and run a live what-if on your network.
Start with one module · No rip-and-replace · Go live in weeks