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Wayam AI
Demand & Inventory

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

Inventory shelves with a demand curve marking one bay

Explainer

Sanchay in two minutes

A narrated walkthrough of the problem, how Sanchay works, and what changes. Captions are available in the player.

Sanchay: Reorder before the shelf empties.Running time 2:10

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

  1. 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.

  2. 02

    Model the range

    Bull, base, and bear scenarios are held alongside the base plan rather than argued about separately.

  3. 03

    Watch the stock

    Inventory position, batch expiry, and location coverage are monitored continuously.

  4. 04

    Recommend the order

    Reorder points and purchase recommendations are produced against forecast, lead time, and shelf life.

Abstract icon for the SKU Demand Forecasting module

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

SAPOracle SCMWarehouse management systemsSupplier EDISnowflake

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.

Reason

Forecasting
Demand, degradation, and risk projected forward far enough that the response is a plan rather than a reaction.

Ingest

System Connectors
MCP-connected reads and writes against the ERP, MES, PLM, CRM, and warehouse systems already in place.

Act

Scenario Simulation
What-if modelling of a response before committing to it, with projected impact attached to every option.

Act

Alert Routing
Noise collapsed into the few signals that matter, routed to the person who can act with time to act.

Reason

Anomaly Detection
Deviation found in high-volume signal without a human defining the threshold first.

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.