Subject Matter Expert — Storage & Warehouse Network Optimisation
Engagement: Contract / consultant Base: India (metro base of your choice), with regular travel to Andhra Pradesh — Vijayawada/Amaravati and district locations

About the role
Andhra Pradesh State Civil Supplies Corporation (APSCSCL) stores and distributes rice and other essential commodities through a network of rice mills, buffer godowns, mandal-level stock points and roughly 29,800 fair price shops. Storage today is planned manually, with no optimisation logic anywhere in the chain.
We are building a decision intelligence platform to change that. You will own the storage side of the problem: where stock sits, in whose warehouse, at what cost, and for how long.

What you will own
Warehouse selection and consolidation. Stock is held across private, SWC/CWC-managed and SWC-owned warehouses, each with different rental rates, and with Handling & Transportation (H&T;) rates that vary warehouse by warehouse. Two godowns of identical capacity are not interchangeable.



You will build the cost model that makes those differences visible, the logic that selects between warehouses, and the case for releasing warehouses running below viable utilisation.
Mill-to-godown mapping. Which buffer godown each mill's custom-milled rice is delivered to is decided by hand today. It sits at the pivot of the chain and drives storage cost directly. This is among the highest-leverage decisions in the network.
Storage economics and dwell. Storage duration is a cost driver, not a residual. You will model rental × duration, build the logic that reduces idle storage, and define what positive dwell looks like by commodity and season.
Capacity and utilisation modelling. Godowns are structured as blocks → stacks → consignments, with one commodity per stack. You will model that structure faithfully enough that recommendations are physically executable, not just arithmetically attractive — including the difference between sanctioned and genuin

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