Case Study
Service Focus: Advanced Forecasting Boosts Sales Planning Accuracy
Restore Technology Solutions is a leading consumer electronics retailer with nationwide
operations. The company experiences strong seasonal sales patterns, especially during holiday
peaks, but struggled to align inventory levels with actual demand
Frequent overstocking of slower-moving items and stock-outs of high-demand products were leading to lost sales, increased holding costs, and customer dissatisfaction.
We implemented advanced time-series forecasting models that integrated historical sales data, promotional schedules, and external economic indicators. These models were automated to update weekly, feeding directly into the retailer’s supply chain planning system.
Restore Technology Solutions now enjoys more precise inventory management, freeing up capital, improving customer satisfaction, and enabling faster market responses.