How to Fine-Tune Every Planning Tradeoff

🚀 Can Your Planning System Do This?

Most enterprise planning tools know how to optimize. Very few know how to decide.

They generate the “best plan” — but not the best way to plan. And when the real world veers off script, that brittle plan collapses.

At VYAN AI, we believe the future belongs to systems that adapt, not just solve. That’s why we’ve built a platform that doesn’t just optimize across commercial, operations, and finance — it empowers planners to steer how decisions are made.

🎛️ Meet the EO Policy Designer

Your strategic cockpit for Enterprise Optimization.

This isn’t IT-enabled one-time configuration. It’s Business-centric decision intelligence — built for scenario simulation, resilience, and real-world performance.

🎯 Why Most Planning Systems Fail (Why Planners Quietly Revert Back to Excel)

We’ve heard it across industries — from Planning, Finance, and Ops leaders alike:


  • Tools are too rigid. Even minor logic changes need IT.

  • You can’t simulate tradeoffs between service, margin, cash flow, or carbon.

  • Excel becomes the fallback for anything complex or urgent.

  • Demand-supply matching, constraints, and objectives are hardcoded or barely configurable.

  • You don’t know if a demand was profitably served or why a demand wasn’t served on time in full — let alone how to fix it.


Legacy systems optimize for a fixed set of assumptions. VYAN helps you optimize your decision strategy.

🧠 What Is the EO Policy Designer?

It’s the steering wheel for VYAN’s Enterprise Optimization engine. Every Policy defines how a specific scenario behaves:


  • ✅ Which constraints to consider — and how strictly (hard, soft, none)

  • ✅ Which supply types to include/exclude for each demand type

  • ✅ Whether to allow substitution (item, resource, source)

  • ✅ Whether to honor firm plans or re-generate fresh

  • ✅ Which objectives to optimize for — service, margin, cash, ROIC, carbon, etc.

  • ✅ What outputs to generate: ATP Confirmations, Pegging Networks, Cost-to-Serve, COFE, and more


Each scenario can use its own Policy — enabling fast, intelligent what-if simulations. Not just changing time-series data — but changing how the system solves.

This isn’t IT configuration. It’s decision design — in the hands of business planners.

📦 Demand-Supply Matching, Reimagined

Legacy platforms offer fixed match rules. EO Policy Designer gives you the freedom to:


  • Match demand to supply by order type, sub-type, or order-line type level

  • Specify eligible supply sources per demand category

  • Respect or regenerate firm orders

  • Lock or relax pegging logic

  • Enable precise substitution logic: item, source, or resource


Use case: Lock allocations for top-tier customers while sourcing flexibly for others — all in the same run.

📊 Constraints: Hard, Soft, or None

Most systems treat constraints as binary. We let you model shifting realities:


  • Hard: Must be respected

  • Soft: Can be violated — for a price (e.g., expedited lead times, overtime)

  • None: Ignored for exploratory simulation


And every soft constraint is backed by a cost measure — enabling intelligent tradeoffs.

Model constraints like:


  • Resource availability

  • Lead times

  • Storage space

  • Min/max procurement or production

  • Lot sizes, utilization thresholds, and more


Use case: See what it costs to flex a constraint instead of just turning it off.

📅 Shelf-Life & Time-Aware Logic

Inventory isn’t generic. Planning shouldn’t be either.


  • Max Pegging Length: Prevents long-term demand from consuming near-term stock

  • Shelf-Life Logic: Ensures aging supply isn’t assigned to future orders


Use case: In CPG or pharma, automate freshness compliance without manual filtering.

📈 Multi-Objective Optimization

One plan. Multiple business goals.

EO Policy Designer lets you prioritize or balance:


  • Service level (OTIF)

  • Revenue

  • Gross margin

  • Cash flow

  • ROIC

  • Carbon footprint


Assign different weights to objectives by scenario — and let VYAN's enterprise optimizer reflect your current business priorities.

Use case: Prioritize margin in Q1, shift to ROIC in capital planning windows, or maximize OTIF during quarter close — all without changing your system set-up, no IT support needed as you move from demand-constrained to supply-constrained cycles.

⚙️ Scope Toggles That Put You in Control

Every scenario lets you decide what to activate:


  • Forecast Consumption: Define consumption logic across forward/backward windows, levels, and measures

  • ATP Confirmation: Auto-generate ATP lines, including pegging, for review and publication

  • Order Pegging: Enable detailed pegging for traceability and Cost-to-Serve insights

  • Cost of Forecast Error (COFE): Quantify financial impact of forecast misses

  • VYAN Insights Agent: Turn on explanations, alerts, and resolution suggestions — in natural language


You can compare scenarios side by side and replan with new policies — instantly.

🌀 Resilience Built-In

Turn on the Resilient Planning toggle. Run thousands of AI-generated scenarios to understand the full range of risks/rewards.

Model uncertainty across:


  • Demand shifts

  • Lead time volatility

  • Capacity shocks

  • Supplier risks


VYAN generates stochastic scenarios and shows KPI ranges — not just best/worst case, but confidence intervals you can act on.

Use case: Stress-test expansion plans for ROIC before risking capital.

🧪 Use Case: Shelf-Life Meets Capacity Flex

You’re planning a drug product with:


  • 12-month shelf life

  • Customer request in month 9

  • Stock expiring in month 4


You:


  • Cap pegging at 6 months

  • Set resource capacity as soft (with overtime cost)

  • Enable ATP Confirmations and enforce floor margin


Result: ✅ Fresh stock committed ✅ Loss-making demand dropped ✅ Planner insight, not system surprise

🧭 From Optimization Engine to Strategic Compass

With EO Policy Designer, VYAN moves from a planning system to a decision system.

It’s not just about producing “a plan.” It’s about producing explainable tradeoffs and confident choices.

You move from:


  • ❌ Spreadsheet simulations to ✅ Intelligent scenarios

  • ❌ Fixed configurations to ✅ Dynamic policies

  • ❌ Trial-and-error to ✅ Strategy-driven decision design


✅ Takeaway

If your system:


  • Can’t flex constraints, objectives, or matching logic by scenario

  • Can’t simulate resilience under real-world uncertainty

  • Can’t connect financial KPIs with operational levers

  • Can’t explain or recommend what to do next…


…it’s not an enterprise cockpit. It’s a glorified calculator.

🧠 EO Policy Designer is what makes VYAN intelligent. It’s how you plan with purpose — not just solve equations.

Because the real world doesn’t follow a plan. It demands a strategy.

🔄 Inside the Cockpit: A Glimpse at EO Policy Designer in Action


📩 Join our Value Pilot to see EO Policy Designer in action. We’ll prove the value — you only pay if it works.

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Performance in Uncertain Times: Why Forecasts, Plans, and Decisions Must Flow as One

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Resilient Planning: confidence across service, margin, and cash flow—at the 95th percentile