Demand Forecasting Datasheet

AI (Artificial Intelligence) | Data sheets

Algorithmic retailing enables retailers to gain actionable insights from vast amounts of data, make informed decisions, and adapt quickly to changing market conditions, thereby gaining a competitive edge in the retail industry.

News | In the news

20th March 2022 | 2 min read Retail Express has moved to a new larger HQ in the thriving tech hub of Leeds, UK, to help the business deliver its next chapter of growth. The new office announcement comes at the same time as it launches a major upgrade to its intelligent merchandising software, RE 2.0, following a two-year investment cycle in product development to introduce significant …

AI (Artificial Intelligence) | Case Study

How Metcash Transformed Promotions with Retail ExpressMetcash, the backbone of Australia’s largest independent supermarket network, needed to modernise its promotional planning to keep pace with consumer expectations and tough competition. Partnering with Retail Express, they launched Metproms—an AI-enabled platform that automated manual processes, improved forecasting, streamlined supplier collaboration, and scaled seamlessly across banners. The result? Faster, smarter promotions, stronger supplier partnerships, and a new standard in independent …

= Summary: Ed Betts reveals how retailers can use algorithmic tools to refine the negotiation process and use it as a springboard for pinpoint planning, product innovation, and future profit growth. Rightly or wrongly, year-on-year (YoY) growth is seen as the measure of success to stakeholders and business leaders alike. But YoY growth very rarely happens organically. It is an active process, one which demands that every …