Supply Chain

Inventory, allocation, and
demand. Unified.

AI agents that balance service levels against working capital, with full visibility into how sales activity and planning cycles affect every supply decision.

Inventory OptimizationSmart AllocationDemand SensingReplenishment
SUPPLY CHAIN INTELLIGENCE
4 DECISIONS PENDING
Active Recommendation
SUPPLY CHAIN AGENT · 12 MIN AGO
HIGH CONFIDENCE TIME-SENSITIVE
Reallocate 2,400 units of Hair Care · Premium from Central → West
WHY THIS DECISION
West region sell-through dropped 34% this week due to a supply allocation error at Facility B. Diwali promotional push launches in 6 days. Current stock covers only 4 days of projected demand. Central has a 3,100-unit surplus with no upcoming promotional activity. Reallocation protects ₹38L in at-risk revenue and resolves 17 of 23 active stockout alerts.
Approve & Execute
Modify
2 of 3 approvers confirmed
DECISION TRAIL
10:32:04 Inventory Monitor Anomaly detected
West region Hair Care · Premium stock at 480 units, below 4-day threshold. Triggered by daily inventory reconciliation scan across 5 regions × 42 SKU families.
10:32:11 Root Cause Engine Querying allocation logs
Facility B dispatch volume dropped 34% starting week 5. Cross-referencing with production schedules: no capacity constraint found. Allocation rule #4412 modified on Oct 2 by planning system.
10:32:18 Demand Forecaster Projecting forward demand
Diwali promotional push scheduled Oct 15. Historical uplift for Hair Care Premium in West: 2.4× baseline. Current stock covers 4.0 days vs 10-day minimum for promo periods.
10:32:24 Supply Planner Scanning surplus inventory
Central region holding 5,200 units of same SKU family. No promotional activity scheduled. 22-day cover post-reallocation, safe operating range. Transfer route: Central DC → West DC, ~18hr transit.
10:32:30 Impact Modeler Calculating reallocation impact
Reallocating 2,400 units resolves 17 of 23 stockout alerts. Projected revenue protection: ₹38L. Fill rate impact: +3.2pp. Central post-transfer cover: 22 days. Confidence: 94%.
10:32:33 Decision Engine Recommendation generated
High-confidence reallocation recommendation created. Routed to 3 approvers. Auto-notified West region field team and Central DC logistics coordinator.
The supply chain planning trap

The problem

Supply chain teams manage thousands of SKU-location combinations daily. They're optimizing in isolation, without seeing the sales promotions driving demand spikes or the planning cycle changes that shift priorities overnight.

Siloed demand signals

Demand planners work from historical data while sales teams have real-time market intelligence that never makes it upstream. Forecast accuracy suffers because context is fragmented.

Static allocation rules

Allocation logic is set quarterly but market conditions change weekly. By the time rules are updated, the opportunity has passed or the stockout has already occurred.

Reactive replenishment

Most replenishment systems trigger on thresholds, not intelligence. They can't factor in an upcoming promotion, a competitor's stockout, or a shift in regional demand patterns.

Capabilities

How Questt solves it

Purpose-built agents that operate on shared business knowledge, not isolated data.

Inventory Optimization

Multi-echelon inventory optimization that considers service levels, working capital constraints, shelf life, and cross-functional demand signals, all simultaneously.

Smart Allocation

Dynamic allocation that adjusts in real-time based on outlet performance, sales velocity, regional demand patterns, and promotional calendars.

Demand Sensing

Near-term demand signals enriched with sales intelligence, promotional data, competitive activity, and seasonal patterns. Not just historical extrapolation.

Intelligence Warehouse

How it connects

Supply chain agents don't operate alone. They draw from the Intelligence Warehouse, the same knowledge layer that sales, planning, and enterprise intelligence agents use. When a promotion is planned, the supply chain agent knows. When a demand shift is detected, the allocation agent adjusts. Context travels because the foundation is shared.

Learn about the Intelligence Warehouse
Diagram · Cross-function knowledge flow
Results

What changes

32%
Reduction in stockouts
<6wk
To production deployment
18%
Improvement in fill rates

See Supply Chain in action.

Tell us about your supply chain challenges and we'll show you how Questt can help.

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