Case study

Inside Toyota Material Handling’s Forecasting Transformation Using Indicio’s Data-Driven Platform

Their challenges

Heavy Manual Workload

Their Excel-based forecasting methodology resulted in low forecast accuracy and an inability to detect trend shifts.

This subsequently hindered them from optimizing capacity planning.

Complex Hierarchies

Forecasting at both European and country levels created cascading inconsistencies and alignment issues.

Data Imbalance Risks

Adjustments in one area often caused errors elsewhere—what one team member described as “fixing one part of a balloon only for another to pop.”

Key results

70% Reduction in Manual Effort and Time Spent on Forecasting

Automated data integration and modeling eliminated repetitive Excel work, freeing the team to focus on analysis and strategy rather than data maintenance.

Improved Forecast Accuracy and Consistency Across Markets

Indicio’s hierarchical forecasting ensured alignment from European totals down to country and segment levels, providing reliable, unified insights for decision-making.

Greater Confidence in Strategic Planning and Management Decisions

With trustworthy, science-driven forecasts, Toyota Material Handling strengthened its decision-making in sales, pricing, production planning, and market positioning; supporting long-term stability and growth.

"Indicio gives us confidence in our market forecast and makes it easier to make decisions for the management team about the goals we need to achieve."
‍
^{Steven Van Poecke, Director of Business and Market Intelligence, Toyota Material Handling}

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