Argon & Co worked with a global confectionary group to build on the advances of its medium- and long-term forecasts with similar improvements to its short-term forecasting. Initially, the group introduced SAP IBP forecasting to help manage its supply chain, with positive results. But with room for improvement on its month-end commercial outcomes, Argon & Co harnessed narrow AI to help the group comb through its internal data to establish what should be used for short-term forecasting, a process which included running dozens of forecasting simulations with a narrow AI model. The SAP IBP vendor was then provided a business requirement document to set up new demand-sensing functionalities which ultimately helped address the short-term forecasting challenges.
Argon & Co partnered with an alcoholic drinks manufacturer to improve the processing of all its incoming orders outside the electronic data interchange. Through general-purpose AI and LLM models, the manufacturer received a tool that converted all non-standardised forms at high speed. The tool, which was deployed on the client’s own Azure platform, helped our client reduce order processing time by 73%. They also saw a 50% reduction in application switches while processing orders. Its adaptability meant the tool could also identify and translate information, such as product descriptions and addresses, to company master data, and perform allocation and availability checks through a live interface.
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