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Where AI Fits

AI should make planners better, not replace them

Automation supports every level of the decision stack. The higher the decision value, the greater the need for human judgement.

Why capability comes first

Where AI Fits

The decision stack

  1. Executive Decisions
  2. Strategic Planning
  3. Scenario Planning
  4. S&OP
  5. Planning Decisions
  6. Analytics
  7. ERP Data

Automation supports every level. The higher the decision value, the greater the need for human judgement.

  • Forecast Generation
  • Demand Sensing
  • Inventory Optimisation
  • Risk Detection
  • Scenario Simulation
  • Exception Management
  • Decision Recommendations
  • Planner Productivity

Human judgement remains the final decision-maker.

Technology & Automation

The technology we engineer

Where capability is in place, we automate it, with systems that act, explain, and self-correct.

  • Agentic Self-Healing Workflows

    Autonomous agents that detect, act, and self-correct on drift.

  • ERP Implementation & Integration

    We implement and integrate ERP into one planning backbone.

  • AI Forecasting & Optimisation

    Model arrays and solvers for demand, supply, and replenishment.

  • Exception Intelligence

    Typed exceptions, correlated and ranked by business impact.

  • Digital Twin & Simulation

    Test any decision on a live model before you commit.

  • Autonomy & Decision Governance

    A dial from advise to fully autonomous, always auditable.

IIT Jodhpur

Engineered by IIT alumni

The platform side of WhiteBox SCM is built by engineers from the Indian Institutes of Technology, applied to supply chain problems by people who have run planning rather than only written software for it.

Get Started

Automate what already works

If the planning capability is real, automation compounds it. If it isn't, automation just makes the dysfunction faster. We'll tell you honestly which one you're looking at.

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