Sanchay™
sanchay - accumulation, what is gathered and held · formerly Demand Intelligence & Inventory Optimization
Forecast demand, size inventory, and reorder before the shelf empties or the batch expires.
At a glance
- Category
- Demand & Inventory
- Theme
- Supply Chain Resilience
- Industries
- Healthcare, Retail & CPG, Logistics
- Capabilities
- 5 composed
- Pairs with
- Purti
Who it is for
- Pharmaceutical and medical distributors managing shelf life
- Procurement teams balancing service level against working capital
- Multi-location operators with uneven stock distribution
Systems it sits on
SAP · Oracle SCM · Warehouse management systems · Supplier EDI
Also used in
Pairs with
Purti

Explainer
Sanchay in two minutes
A narrated walkthrough of the problem, how Sanchay works, and what changes. Captions are available in the player.
Sanchay is a demand and inventory accelerator for distribution-heavy supply chains, built first for pharmaceutical distribution. It combines SKU-level demand forecasting, scenario planning across bull, base, and bear cases, and accuracy tracking with real-time inventory health, batch expiry tracking, and multi-location stock views. Procurement teams manage purchase orders, suppliers, and reorder recommendations, while an alert centre flags stockouts, overdue orders, and expiring batches before they become write-offs.
The problem
Distributors forecast in spreadsheets and hold safety stock by habit, so capital sits in slow inventory while fast-moving SKUs stock out and batches quietly expire.
The outcome
SKU-level forecasting, live inventory health, and reorder recommendations that balance service level against working capital.
How it works
How Sanchay works
- 01
Forecast the demand
Per-SKU demand is projected and the accuracy of each forecast is tracked, so the model earns trust or loses it.
- 02
Model the range
Bull, base, and bear scenarios are held alongside the base plan rather than argued about separately.
- 03
Watch the stock
Inventory position, batch expiry, and location coverage are monitored continuously.
- 04
Recommend the order
Reorder points and purchase recommendations are produced against forecast, lead time, and shelf life.

Module 01
SKU Demand Forecasting
Per-SKU forecasts with accuracy tracked over time rather than assumed.
- 02
Scenario Planning
Bull, base, and bear cases modelled so a plan has a range, not a single number.
- 03
Inventory Health
Stock position, batch expiry, and multi-location visibility in one view.
- 04
Reorder Intelligence
Purchase order, supplier, and reorder recommendations driven by forecast and lead time.
- forecasting with tracked accuracy
- Per SKUforecasting with tracked accuracy
- expiry visibility across locations
- Batch-levelexpiry visibility across locations
Integrations
Ideal for
- Pharmaceutical and medical distributors managing shelf life
- Procurement teams balancing service level against working capital
- Multi-location operators with uneven stock distribution
- Supply planners forecasting in spreadsheets today
Capabilities
Sanchay composes these capabilities from the shared Agent Platform layer. The same atoms power the rest of the portfolio, so adopting a second accelerator reuses the integration work rather than repeating it.
Composition
Sanchay is assembled from shared platform atoms. Hover a partner to see what you reuse on the next deployment.
Pairs with
- Forecasting
- Demand, degradation, and risk projected forward far enough that the response is a plan rather than a reaction.
- System Connectors
- MCP-connected reads and writes against the ERP, MES, PLM, CRM, and warehouse systems already in place.
- Scenario Simulation
- What-if modelling of a response before committing to it, with projected impact attached to every option.
- Alert Routing
- Noise collapsed into the few signals that matter, routed to the person who can act with time to act.
- Anomaly Detection
- Deviation found in high-volume signal without a human defining the threshold first.
Reason
Ingest
Act
Act
Reason
FAQ
Is Sanchay only for pharma?
It was built first for pharmaceutical distribution, where batch expiry matters most. The forecasting and reorder logic generalizes to any distribution business.
How does it pair with Purti?
Purti predicts disruption on the supply side; Sanchay sizes what you hold. Together they cover both the risk and the buffer.
What if our forecast history is poor?
Accuracy tracking is built in from the start, so the first weeks establish a measured baseline rather than an assumed one.