A few words about us

Retail Express was founded by Barry Grange and Miguel Ganose to give form to their vision of a niche merchandising application to address the complex problems of advertising, marketing, promotions and pricing.

RE 2.0 is the result of substantial research in Europe and North America. In many of the retailers we looked at, merchandising and promotional processes were fragile, time consuming, error prone and generally inconsistent with the retailer’s own aspirations.

Retail Express’s mission was to create a single system that would integrate, optimize and manage every aspect of a business’s pricing and marketing – from initial planning to final evaluation; the result is RE 2.0.

RE 2.0 has helped our customers become more sophisticated in the way they run the whole merchandising area of their business, and that sophistication made it much more appropriate to apply scientific techniques to capitalize on the gains they were already making. Decisions they make today are underpinned by solid forecasts, and the prices and promotions they apply are optimized for the market conditions in which they operate.

Integrated thinking empowering decisions

Gaining a deeper understanding of customer behavior is at the core of the Retail Express demand platform, accurately evaluating the impacts of your decisions on an ongoing real-time basis.

The core system provides the operational aspects of managing, recording and delivering advertising, marketing, pricing, promotions, assortment, replenishment as well as providing forecasts for merchandising and the wider supply chain in a single unified product.

The key to our success is that the forecasting and demand modelling technology predicts the effects of different prices and promotions on specific items, and the cross effects on the category as a whole at the planning stage. RE 2.0 Forecasting takes into account all current and planned customer touch points (price, promotion, ad, display, web, flyer, etc.) at the desktop and in real time delivers a highly accurate forecast of demand.