Predicting In-Store Promotion Effectiveness Linked To Macro Marketing Campaigns

AI for Independent Authoring using LLMs with augmented knowledge bases

Predicting In-Store Promotion Effectiveness Linked To Macro Marketing Campaigns The Challenge A leading electronics retailer invests in marketing to increase the footfall in their stores. In-store promotions then try to convert visitors to buyers and increase the value of their basket. The company wanted to predict the effectiveness of different campaigns given the marketing campaigns […]

Improved Resource Allocation Based On Footfall Forecasting In Stores Using Neural Networks

Improved Resource Allocation Based On Footfall Forecasting In Stores Using Neural Networks The Challenge A leading electronics retailer in the Middle East invests in various forms of online advertising to increase footfall in their stores. The management wants to understand the impact of the different investments. They also want to forecast what footfall they can […]

Improve Power Generation Forecasting by Neural Networks & Time Series Forecasting

Improve Power Generation Forecasting by Neural Networks & Time Series Forecasting The Challenge A wind farm in Europe, supplying power to the electric grid was having a high margin of error of 30% in its output prediction, resulting in high penalty to the grid. ( Errors greater than 10% incurred a penalty ). They needed […]

Smart Storage Forecasting: Optimizing Reorders Based on Tank Usage Patterns

Smart Storage Forecasting Optimizing Reorders Based on Tank Usage Patterns The Challenge A leading specialist in water treatment needed a predictive system that determines the optimal reorder time for tank-stored chemicals, balancing complex constraints. These include batch-only ordering, strict tank level limits, and a 28-day delivery lead time. The system must accurately forecast consumption patterns […]

Optimizing the manufacturing of Cold Rolled Steel Products

Optimizing the manufacturing of Cold Rolled Steel products The Challenge Our client, a major manufacturer of cold rolled steel products, had a problem. The raw material used by them cost approximately 85% of the cost of manufacturing the end products and varied in grade and size. This high capital investment in raw materials and consumables […]