Case study: Helping a global distributor recover lost revenue through data analysis and demand forecasting
Challenge
An industrial seals distributor struggled with unpredictable customer demand patterns, manual forecasting processes, and costly inventory misalignments due to significant gaps between customer forecasts and actual orders.
Solution
- Conducted comprehensive consultations with management to understand data landscape, business goals, and operational pain points
- Analyzed years of archived sales and production data to identify demand trends
- Developed automated forecasting analysis tools to replace costly manual ERP workflows
- Created streamlined reporting system providing actionable insights comparing customer forecasts against actual purchase patterns
- Built customer-specific usage prediction models enabling proactive inventory planning and communication strategies
Results
- Recovered 25% of one FTE's capacity by automating forecasting and reporting systems
- Enabled proactive six-month planning through customer-specific usage predictions and demand pattern analysis
- Generated hundreds of thousands of dollars in direct revenue recovery by identifying and addressing forecast-to-actual purchase discrepancies with customers
- Reduced emergency rush order costs by 80%
- Strengthened customer relationships through data-driven conversations about actual needs and optimized service delivery
The automated demand analysis system transformed unpredictable customer patterns into actionable intelligence, recovering lost revenue while simultaneously amplifying service levels and cementing long-term customer relationships.
Work with Insight Softmax
If you have a problem that can be solved with data, we can help. Our problem-solving approach works across company sizes and industries. Contact us to set up a free consultation.
Book now