Retailers rely on manual forecasting in spreadsheets which leads to lost sales, excess stock, and waste. Sparkbox is developing an AI-powered demand forecasting module to help retailers predict future sales accurately and optimise stock management. Sparkbox's solution integrates with their existing modules and makes it easy for merchandisers, allocators, and buyers to explore and interact with AI-based forecasts. Areas of innovation are in forecast approach, user experience, and technical infrastructure. Sparkbox's goal is to advance the adoption of AI in retail, support sustainable and profitable inventory management, and help retailers compete in an increasingly data-driven market.

Project involves the creation of a merchandising insights tool that integrates retailer data, market data, and ML-based prediction and recommendation to provide retailers with timely product insights and recommendations around purchasing, pricing, marketing and allocations. Areas of innovation focused on driving insights from large retail data sets using ML, AI, business logic and business goals.