ElectrifAi worked with a luxury retailer that was experiencing data overwhelm. With multiple data sources from its enterprise resource planning and suppliers, the retailer wanted to classify its companywide spend.
ElectrifAi took data from seven sources, validated it, cleaned it, and consolidated it. The team also created spend dashboards so the client’s employees could quickly see companywide spend.
As a result, the retailer normalized spend data from 50 sources to increase spend visibility. It also classified 98% of all spend and compressed the number of suppliers in its system by 65%. That’s practical AI.
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Increasing Supplier Diversity for City Government
One of the largest city governments in the United States worked with ElectrifAi to identify small and underprivileged suppliers in its system. As part of a diversity initiative, the government wanted to support these businesses. However, the city used a decade-old application with limited reporting capabilities — and it couldn’t afford to replace this legacy application, either.
