The Challenges of Time-Series Forecasting in Retail
While demand forecasts are never perfect, they are an absolute necessity for most retailers. Good forecasting helps to ensure that retailers can supply the right product at the right time and location, maintain adequate inventory levels while avoiding stock-outs, reduce the chance of obsolete inventory, and improve price and promotion management. Many of the traditional […]
Aggregated Market Basket Analysis and Tricky Analytics
In one of my previous blogs, I addressed the question on how granular the analyzed data in retail analytics should be. There is a tangible cost resulting from..
Retail Analytics – How Granular Should You Get?
With the emergence of big data technologies and the availability of new data sources, one of the main questions concerning analytics is …
How Conventional Sales Benchmarking Fails Retail Analytics
Growing retail sales takes intelligence. Keeping close account of how sales are tracking against norms can provide critical insights and help define better sales…
