It’s beyond embarrassing when a popular product is out of stock, or an unpopular one won’t shift. Worse still that mysterious pile of boxes in the storeroom – the remnants of poor purchasing decisions made by a predecessor.
Advanced Retail want to help bring an end to these professional embarrassments. In large part because they mask commercial opportunity, and savings.
The Advanced Retail Traxs system already collects the data that allows retailers to identify when products are selling well, understanding peaks and troughs such as seasonality. The same data can also show where lines are not selling well and stock is building up, redundant in storage.
Paul Wilson, Business Analyst and Project Manager for Advanced Retail, shared the details of an incident where a POS system was being blamed for stock shortages and gluts, as he said, “The truth was the POS system was revealing the issue – rather than causing it. What we want to do at Advanced Retail is to use that valuable data so retailers can have the right product, in the right quantities, in the right place at the right time.”
During 2025 Advanced Retail will be approaching customers to understand what benefits they want to gain from the analysis of data collected by their Traxs EPoS systems. By building on machine learning in Microsoft Fabric and visualising the results in Power BI machine, Advanced Retail will provide customers with a suite of reporting tools to help them maximise the retail and commercial benefits from their stock. For instance, optimising stock levels so that fast moving lines are kept flowing, slower lines are not overstocked and unpopular products ceased.
The data combined with machine learning will deliver more commercially valuable insights too. As David Billingham, Managing Director at Advanced Retail, was enthused to point out, “The data we collect will identify buying patterns and behaviours that our customers can use to increase sales and margins, make discounting and offers work harder – as well as deliver more cost-efficient stocking.”
“These insights will allow retailers to widen their window of operation. Informing longer term stock control, ordering and sales planning.”
David looks at it from the angle of his customers’ customer too – the consumer. Through auto-analysis, buying patterns are revealed which identify which customers are most profitable and active so they can be cultivated. Equally customers that only buy discounted or low margin lines can be identified and less time and money spent on trying to change their habits.
To find out more about the mine of commercially valuable information at your fingertips through Traxs from Advanced Retail contact David Billingham, db@advanced-retail.co.uk, 07817 268 546 or follow this link.
