![]() ![]() With a little help from Python and machine learning, they wrangle the data into a sensible format, label and categories each product, and then aggregate the data into a digital product catalogue that sales staff can access right on the shop floor. Ruchomi receives catalogue data in all sorts of formats (PDF, malformatted CSV…) from a number of manufacturers. He’s using Anvil to build Ruchomi, an app designed simplify the complex process of working with retail product data, making product catalogues as simple as they should be, and accessible to sales staff on the shop floor. ![]() Kevin Dalias has spent years working to improve a system that’s fundamentally broken. Unfortunately, this is far from the reality. ![]()
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