Integrated Business Planning

Plans that stay aligned
as conditions change.

Demand, supply, and financial plans connected through a shared knowledge layer, so adjustments in one plan automatically surface implications across others before they become surprises.

Demand PlanningSupply PlanningFinancial AlignmentScenario Modeling
Integrated Business Planning Scenario Comparison Diwali Planning Cycle
Scenario Recommendation
Planning Agent · 3 Scenarios Evaluated
Scenario B Optimal
Shift Diwali promotional push by 1 week. Recovers ₹22L in margin with lower stockout risk
Why Scenario B
Current plan (Scenario A) launches Oct 15, but West region won't have replenished stock until Oct 18, creating a 3-day stockout window across 23 SKUs. Scenario B shifts launch to Oct 22, aligning with confirmed replenishment. Supply chain agent confirms full allocation by Oct 20. Sales agent confirms 97% field activation capacity. Net: ₹22L higher margin, 94% fill rate vs 71%.
Decision Trail
10:40:04 Demand Signal Monitor
Demand shift detected
Diwali demand forecast revised upward 18% based on early trade signals and promotional pre-booking data. Current supply plan misaligned, triggering scenario evaluation.
10:40:12 Scenario Generator
Building scenario set
3 scenarios generated: A (current plan, Oct 15 launch), B (shifted to Oct 22, aligned with replenishment), C (aggressive Oct 12, higher risk). Evaluating each against supply readiness, field capacity, and financial targets.
10:40:20 Supply Chain Agent
Validating supply readiness
Scenario A: 71% fill rate at launch, 23 SKU stockouts. Scenario B: 94% fill rate, full replenishment confirmed by Oct 20 via Facility B + Central reallocation. Scenario C: 62% fill rate, 31 SKU stockouts. Scenario B is only option with full supply alignment.
10:40:28 Sales Agent
Checking field activation capacity
Scenario A: 85% readiness (3-day rush activation). Scenario B: 97% readiness (full 9-day activation window). Scenario C: 68% readiness (insufficient prep time). Beat plans can be optimized for Oct 22 with zero deferred outlets.
10:40:35 Financial Modeler
Calculating margin impact
Scenario A: ₹68L margin (stockout losses of ₹22L). Scenario B: ₹90L margin (full demand capture, optimal promo ROI). Scenario C: ₹72L margin (higher volume but excess markdowns). Scenario B optimal on margin, risk-adjusted return, and execution confidence.
10:40:41 Decision Engine
Recommendation finalized
Scenario B recommended with 94% confidence. Auto-notifying: Supply chain agent (confirm Oct 20 readiness), Sales agent (update beat plans for Oct 22), Finance team (revised P&L for review). Demand and trade calendar plans updated pending approval.
The planning disconnect

The problem

Planning cycles run on different timelines, different assumptions, and different data sources. By the time demand, supply, and financial plans are aligned in a review meeting, the underlying conditions have already changed.

Plans that don't talk

Demand plans are built in one system, supply plans in another, and financial plans in a third. Reconciliation happens manually in meetings, not systematically, and never in real-time.

Assumption drift

Each plan starts with assumptions that diverge as conditions change. A demand shift in week 2 doesn't automatically update the supply plan or the financial forecast. By month-end, the plans describe three different realities.

Scenario paralysis

Running what-if scenarios across multiple functions requires manual coordination. Most teams can't evaluate cross-functional impact quickly enough to make scenarios useful for actual decision-making.

Capabilities

How Questt solves it

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

Demand Planning

AI-augmented demand forecasting that incorporates sales intelligence, promotional calendars, market signals, and historical patterns, with automatic propagation to supply and financial plans.

Supply Planning

Constraint-aware supply planning that automatically adjusts when demand assumptions change, capacity shifts, or supplier conditions evolve. No waiting for the next planning cycle.

Scenario Modeling

Cross-functional scenario analysis that shows the full impact of a demand shift, a capacity constraint, or a promotional change across supply, sales, and financial outcomes. In minutes, not weeks.

Intelligence Warehouse

How it connects

Integrated Business Planning works because the Intelligence Warehouse maintains the relationships between demand drivers, supply constraints, and financial targets in a single knowledge graph. When one changes, the implications propagate automatically. Planning isn't a quarterly reconciliation exercise. It's a continuous, connected process.

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

What changes

60%
Reduction in plan reconciliation time
3wk→3d
Scenario evaluation cycle
22%
Improvement in forecast accuracy

See Planning in action.

Tell us about your planning challenges and we'll show you how Questt keeps plans aligned.

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