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Proof in practice

Case study | Demand planning tool

Where complex problems meet effective solutions.

An operations expert partnered with us to launch a demand-planning product—a fully built application delivering visibility and cost-saving insights across complex, expanding distribution networks.

Functionality

  • SKU catalog management: Upload and organize product data and hierarchies.

  • Data ingestion — Automated import of historical sales and external forecast data.

  • Scenario simulation — Adjust demand parameters by period to test sensitivity.

  • Impact visualization — Real-time demand curves from simulated inputs.

Architecture Stack

Microsoft Azure

Web hosting

Python

Calculation engine & logic

Azure SQL

Scalable relational storage

Business impact

  • Enhanced Visibility Enabled granular scenario-based forecasting not possible with legacy tools.

  • Reduced Manual Work Eliminated error-prone manual spreadsheet modeling and data entry.

  • Data Accuracy Centralized data source of truth for planning teams.

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