Stockouts You See Coming.
AI that predicts which SKU runs out, where, and when — days before it happens — so you replenish before the sale is lost to a competitor.
Current Situation
Demand planning runs on a monthly spreadsheet that doesn’t see what’s happening on Instagram, in regional weather, or on competitor pricing. SKUs go out of stock for four to seven days at a time, customers buy from the brand that has the product, and excess inventory piles up in the warehouses where the demand isn’t.
The cost isn’t just lost sales. It’s the customer who tries the competitor and never comes back, the working capital trapped in the wrong warehouses, and the marketing spend that drove demand to a product page showing ‘out of stock’.
What Shelfsight Does
ShelfSight reads sales velocity, demand signals, and supply lead times across every SKU and warehouse, predicts which products will run out and where, and tells the planning team what to move — days before the shelf goes empty.
SKU- and Warehouse-Level Forecasts
Stockout risk predicted at the granularity that matters — not ‘we’ll run low on hair care’, but ‘we’ll run out of the 200ml shampoo at the Bengaluru warehouse on Thursday’.
Multi-Signal Demand Modelling
Sales velocity, marketing campaigns, regional events, weather patterns, and competitor pricing combined into a demand signal — not a flat trailing average that misses every spike.
Replenishment Recommendations
A daily list for the planning team — which SKU, from which warehouse, to which warehouse, by when — so replenishment becomes execution, not analysis.
Lost-Sale Recovery Visibility
Dashboards that quantify the stockouts you prevented and the ones you didn’t — so the supply chain team can finally show the brand what better inventory decisions are worth.
How It Works
No more reactive ‘we just went out of stock’. No more padding safety stock everywhere
Amazon S3
Call recordings land in Amazon S3 the moment they are uploaded.
Amazon Transcribe
Amazon Transcribe converts the audio into accurate, speaker-attributed text.
Amazon Comprehend
Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.
AWS Lambda
AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.
Why It Holds Up
Deployed in your AWS account
ShelfSight runs inside your own AWS environment. Sales data, inventory positions, and supplier information never leave your infrastructure.
Data resident in AWS Mumbai
All sales, inventory, and forecast data processed and stored in the AWS Mumbai region, protecting your commercial and supply chain confidentiality.
Marketplace- and channel-aware
Reads demand signals across Amazon, Flipkart, your D2C site, quick-commerce, and offline channels — because stockouts on one channel cannibalise sales on another.
WMS and ERP integration
Connects to your existing Warehouse Management System and ERP via API. Recommendations flow into the systems planners already use; no parallel workflow.
Built for Indian supply chain reality
Models calibrated for regional demand variation, monsoon patterns, festive cycles, and the supply lead times Indian D2C and retail brands actually face — not a generic Western forecasting engine.
BUILT FOR
Supply Chain Heads, Demand Planners, and Operations leaders at D2C brands, omnichannel retailers, and quick-commerce platforms —
Where stockout incidents, inventory turns, and lost-sales recovery drive growth and working capital efficiency.
