Retail & FMCG · Live POC

Inventory Optimisation Intelligence

Optimises inventory levels across the network by balancing stockout risk against carrying cost at SKU-location level, using demand volatility, lead-time variability, and service-level targets. Flags overstock and understock positions, recommends reallocation and reorder actions ranked by working-capital impact, and tracks inventory turns and fill-rate improvement over time.

Inventory Optimisation Intelligence — Pragyan Ai

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Coverage Architect

Maps every outlet in the distribution universe — scored by potential, coverage gap, churn risk, and assortment opportunity. Territory Intelligence shows numeric and weighted distribution by region; Distributor Intelligence scores fill rates, stock availability, and GMV health with 6-week performance charts. AI Agentic Operations engine generates expansion actions (new outlet additions, distributor reassignments, route changes) with projected revenue and coverage impact — that can be approved and dispatched in one click.

Profit Driver AI

Revenue Growth Management platform that tracks margin, trade spend, and promotional ROI across every SKU, channel, and customer. Price elasticity modelling shows demand sensitivity curves per brand. Trade spend analyser compares planned vs actual ROI per promotion scheme. Simulator lets you model a price change or budget reallocation and instantly see P&L impact. Channel mix optimiser identifies where to shift investment for the highest incremental margin per rupee spent.

Retail Demand Studio

End-to-end demand intelligence for retail chains: 14-day demand pulse forecast by SKU and store, velocity × margin scatter map to identify stars and slow-movers, AI-generated replenishment purchase orders with one-click dispatch, festival demand uplift modelling, and a wastage reduction engine that ranks perishable SKUs by expiry risk with AI-orchestrated actions (flash sales, bundling, shelf repositioning) to minimise spoilage losses.

Conversion Optimisation Engine

Tracks the full funnel from footfall/traffic to conversion across stores and channels, isolating where drop-off happens by segment, category, and time of day. Simulates the revenue impact of layout, staffing, and promotion changes before rollout, ranks underperforming stores or pages by conversion-gap value, and recommends AI-prioritised actions to close the gap against top-performing peers.

Loss Prevention Intelligence

Detects shrinkage and loss patterns across stores using transaction-anomaly detection (voids, refunds, discount abuse), inventory-shrink correlation, and employee/register behavioural signals. Ranks stores and shifts by loss risk and dollar exposure, surfaces the specific patterns driving loss, and generates investigation-ready alerts for loss prevention teams — cutting shrinkage before it compounds.

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