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DecisionPlan is the optimization platform that transforms your inventory, network, and planning data into the lowest-cost plan that still hits your service targets. Built on real operations-research modeling — not spreadsheets and gut calls — so your team spends less time reacting and more time deciding.
Inventory, replenishment, and network decisions get made in spreadsheets, built on static safety-stock rules of thumb, and revisited only when something breaks. Suppliers, warehouses, lead times, capacity limits, and lane constraints all interact — but they're rarely modeled together, so planners either overstock to stay safe (tying up working capital) or undertrust to save cash, risking service failures and stockouts.
Testing a "what-if" scenario means days of manual rework, so most teams never test it at all — they commit to a plan and hope.
It's an operations-research-based optimization platform that models your entire network — suppliers, warehouses, customers, products, and lead times — and computes the procurement, inventory, transfer, and fulfillment plan that minimizes total cost while meeting your service and inventory policies.
Instead of a static report, you get a live control tower: build a scenario, validate the data automatically, run the optimization, and see exactly where cost, service, and inventory move — down to the SKU and location — before you commit to anything.
Planning decides the volume and where it sits. Execution decides how it moves each day. DecisionPlan solves both against the same network model, so the weekly plan and the daily dispatch never contradict each other.
Get the inventory right
Get the movement right
Availability: Logistics Optimization follows Inventory Optimization. Early-access engagements run alongside a live inventory deployment.
Most S&OP processes set direction monthly and weekly, but cost and service are decided daily in inventory and logistics. DecisionPlan connects the two mathematically. Your ERP stays the system of record.
ERP and planning data
Strategic and tactical plans
Weekly inventory + daily logistics
Approve or adjust
POs, transfers, dispatch
AI explains and answers questions. The optimization engine calculates the best feasible decision under your real constraints. The copilot sits on top of the math, not in place of it.
No rip-and-replace. Your ERP keeps running orders, transfers and dispatch. DecisionPlan generates better decisions and hands them back for execution.
Dashboards show what happened. DecisionPlan produces recommendations your planners can review, approve and execute, with the KPIs to check they worked.
Create a scenario, upload or connect your data, and let DecisionPlan validate it automatically before anything runs. From raw data to an optimized plan — without needing a data science team in the loop.
The same network, optimized under three different demand assumptions. Total cost moves — but so does where that cost sits, which is the decision your planners actually need to make.
| Scenario | Total cost | Procurement | Distribution | WH transfer | Holding | Shortage |
|---|---|---|---|---|---|---|
| 01_normal_optimized | ₹261,766 | ₹0 | ₹10,059 | ₹5,167 | ₹128,252 | ₹95,171 |
| 02_demand_surge | ₹278,676 | ₹0 | ₹10,238 | ₹4,706 | ₹126,691 | ₹111,362 |
| 03_demand_dropLOWEST COST | ₹245,892 | ₹0 | ₹9,940 | ₹5,677 | ₹129,770 | ₹79,928 |
Demo scenario data. Lowest total cost is highlighted for orientation only — DecisionPlan deliberately applies no ranking, because the right plan depends on how you weigh service against working capital.
Every run produces an executive view, a diagnostic breakdown and a drill-down — so a planner can go from "total cost moved" to "which warehouse-product pair caused it" without leaving the screen.

The cost waterfall shows how total cost is built up; the two charts beneath rank the SKU-customer pairs and warehouse-product pairs driving it.
The key output of an inventory run is an inter-warehouse rebalancing plan — every transfer specified from warehouse, to warehouse, product, week and quantity, in whole units, ready for a planner to approve.
Start from inventory by warehouse, shortage contributors or safety stock shortfalls, then narrow to a warehouse-product pair to see its on-hand position against safety stock, units shipped and the weeks where cover runs out.
DecisionPlan is a mixed-integer and linear optimization model, not a black-box AI system. Every recommendation can be traced back to a cost, a capacity or a policy.
The right savings number depends on your planning process, data quality, inventory profile and network. So we don't quote a fixed percentage. We run DecisionPlan on your own historical data and compare it with the plan you actually ran.
Review demand, inventory, ERP and logistics data.
Optimize your history and compare with your current plan.
Connect data feeds and configure business rules.
Weekly plans to planners for approval.
Daily dispatch plans, training and go-live support.
Start with a data readiness check. We'll tell you what DecisionPlan can measure on your network and what a Proof of Value would involve.