

Let’s take a value fashion retailer as an example. In a challenging trading climate, they need to identify which lines are less price sensitive, so they can stretch margin. Our pricing solution helps create price elasticity of demand measures, to quickly pinpoint inelastic products. Then, machine learning simulates potential commercial outcomes before you commit to price moves.
Our platform shows data in real time, so you can quickly course correct if a price change is under- or over-performing. Monitor price performance over time, to balance availability and sell-through, whilst minimising waste and maximising margin.
Without machine learning, optimising prices can be a daunting and time-consuming process. You need to pull together and make decisions on:
However, using a platform like HyperFinity allows AI to do the hard work for you. It analyses every data set and spots patterns, making recommendations for retail leaders to use in their decision making. Price optimisation is no longer a lengthy process – instead it can be incorporated into your routine so you’re never missing an opportunity.
The retail landscape is in a constant state of flux. Operating in a cost-of-living crisis is hampering growth. For example, earlier this month, Barclays reported a three-year low in card spend growth, as British consumers reduce discretionary purchases.
It’s costing more and more just to be a retailer. Materials, packaging, shipping and labour are on the rise, putting pressure on retailers’ bottom lines. On top of this, the UK is on the cusp of a general election, with possible policy changes on the horizon.
Price optimisation is a logical strategy for retailers looking to take control in 2024.