June 16, 2025Integrated Business PlanningSupply Chain

What the First 90 Days of Planning with TrueGradient Look Like

A walk-through of first 90 days with TrueGradient planning - from kickoff to measurable impact.

Namrata Gupta

Namrata Gupta

COO, TrueGradient

What the First 90 Days of Planning with TrueGradient Look Like

Implementing a new supply chain planning solution is a big decision. You’re not just bringing in new software but also rewiring the way your business makes decisions.

At TrueGradient, we understand that change can be complex. That’s why we’ve built an onboarding process that is not only fast and value-driven but also tailored to the realities of your operations.

In this article, we’ll walk you through what the first 90 days of working with TrueGradient actually look like - from kickoff to measurable impact. Whether you’re a demand planner, supply chain lead, or C-level stakeholder, this journey gives you an understanding of how AI-driven planning comes to life.

Why 90 Days Matter in Supply Chain Planning

In the world of supply chain and demand planning, every week counts.

Traditional planning processes often take months, sometimes even quarters to show tangible results. Teams get bogged down in integration, data wrangling, and manual forecasting before they can even begin to extract value.

TrueGradient changes that.

By combining rapid integration with self-learning AI models and connected workflows, companies begin to see results in weeks, not months. The 90-day window isn’t just symbolic—it’s your first major planning cycle transformed.

Phase 1: Weeks 1–2

Understand & Integrate: Laying the Foundation

Every great system starts with a strong foundation. In the first two weeks, our focus is on understanding your business inside out.

What Happens:

  • Supply Chain Mapping: We map your end-to-end supply chain network - from suppliers to distribution nodes to last-mile channels.
  • Integration with Existing Systems: TrueGradient integrates with your existing database, ERP, WMS, or OMS using APIs.
  • Data Ingestion: We ingest your historical data - sales, inventory, planning parameters and product mapping.
  • Custom Parameter Setup: We configure the system using your planning parameters - MOQs, safety stocks, lead times, service levels at the most granular level.

The Goal:

Configuring the system with your data, drivers and parameters so that AI can model it accurately.Basically, customising your account to fit your unique business.

Phase 2: Weeks 3–5

The First Forecast Is Generated: Your AI Brain Comes Alive

Now it’s time for the first big leap.

Your first AI-driven demand forecast is generated, based entirely on your data and business context.

What Happens:

  • Model Training & Feature Selection: We train custom models on your historical data, choosing the best features (promotions, holidays, weather, price changes data) to improve forecast accuracy.
  • Hyper-parameter Tuning: We test multiple model configurations to find the best-performing version for your business.
  • Forecast Review & Tuning: Initial forecasts are reviewed with your team, and business context (like future promotions or one-off events) is layered in.

How to Use:

The forecast doesn’t just sit in a dashboard. It goes straight into your S&OP meeting and becomes your first consensus forecast.

From there, the system starts recommending actual actions:

  • Stock transfers between locations
  • Reorder plan
  • Early pricing moves to prevent markdowns later

The Goal:

Move from passive insights to decision-ready planning.This is when the system shifts from being a dashboard to becoming a co-pilot.

Phase 3: Weeks 6–9

From Static Plans to Smart Loops: Learning in Motion

With the system running and actions flowing, the next phase is all about closing the loop and learning from what’s working and where improvements are needed.

What Happens:

  • Inventory Health Monitoring: We surface excess stock, stockouts, and risk zones across your nodes.
  • Scenario Testing: You begin experimenting with different demand and supply situations like promo impacts, raw material delays, price drops.
  • Elasticity Modelling: Our system starts identifying price elasticity trends to shape smarter pricing strategies.
  • Smarter Markdowns: Rather than end-of-season panic, you begin making early pricing adjustments to improve margins and clear stock profitably.

The Goal:

Turn your planning into a living, learning system - not something static and reactive. You’re no longer planning in silos or once a month. You’re adapting in real time.

Phase 4: Weeks 10–12

Connected Planning, Visible Impact

At this point, everything starts to click. Planning becomes faster, more aligned, and visibly impactful across departments.

What Happens:

  • Replenishment and Promotions Align: Your marketing calendar, pricing, and supply cycles sync up seamlessly.
  • S&OP Cadence Accelerates: S&OP meetings are now powered by real-time data, not manual guesswork.
  • Cross-Functional Visibility: Sales, finance, and ops can see the same plan, with clear rationale and AI-backed recommendations.

The Outcomes:

  • Forecast Accuracy improves by up to 20%
  • Working Capital begins to drop as better stock decisions reduce waste
  • Inventory Misalignment between warehouses and stores decreases
  • Time Saved on manual tasks that frees up teams for strategic planning

The Goal:

Achieve connected, collaborative, and explainable planning.

The Biggest Shift: Planning Forward, Not Fighting Fires

At the end of 90 days, the biggest change isn’t just in metrics but also in way of working.

Teams that used to spend hours stitching together reports or chasing last-minute issues now have:

  • A trusted forecasting system
  • Real-time visibility across the supply chain
  • Interconnected planning across demand, replenishment, pricing and production plans
  • More time to focus on growth, product launches, and strategy

They’re no longer reacting to yesterday’s problems.They’re proactively shaping tomorrow’s plans.

Ready to Rewire Your Planning?

Write to us at info@truegradient.ai or book a demo today.

Namrata Gupta

Namrata Gupta

COO, TrueGradient

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