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Chemical

Adding Color to Forecast Accuracy: How a Leading Paint Manufacturer Scaled Past Spreadsheets

When rapid growth collides with heavily manual, siloed spreadsheet planning, supply chains break down. Discover how one of India's largest multinational paint manufacturers transformed its demand and supply planning across its B2B and B2C segments. By partnering with o9 Solutions, they replaced legacy processes with advanced ML analytics and consensus forecasting—improving forecast accuracy, slashing slow-moving inventory, and seamlessly connecting sales, marketing, and supply chain.

This customer was growing quickly, and their existing demand and supply planning processes could not support this growth due to a high dependency on manual activities and Excel spreadsheets.

Sustainability impact

Reduction of inventory, logistic expedites, obsolescence, and waste.

challenges

Complexity to Clarity

Challenge

Primarily relied on the AOP to determine future demand, meaning they were unable to keep up with the latest market trends. There was limited collaboration between sales, marketing, and supply chain teams. This added inaccuracy to a heavily regional, promo-driven market.

Solution

With o9, advanced ML analytics and consensus forecasting capabilities were leveraged to drive improvements in forecast accuracy.

Value Delivery

Systems Replaced

  • Manual XLS-based planning
  • Homegrown solutions

Key Functionalities Implemented

The Enterprise Knowledge Graph was used to implement a complete E2E IBP process. This includes demand planning in collaboration with sales and marketing, distribution planning, master planning, procurement planning, and S&OP.

Customer Benefits

success factors

  • Deep industry knowledge in the paint industry with o9’s future-proof innovations and the ability to support advanced analytics.
  • Single integrated platform for all planning processes.
  • Ability to accommodate the specific needs for customization, a modern user experience with multiple ways to connect and plan using Excel, browser, or mobile.

KPI Impacted

  • Reduction in inventory, specifically slow-moving inventory.
  • Reduction in lost sales.
  • Improved forecast accuracy.
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