The AI shift: why now is the time to evaluate your position
By 2025, our clients are expecting to see tangible benefits of AI-enabled resilience – including a 35% increase in operational efficiency and a 25% reduction in forecasting errors.
As confidence in AI grows and adoption increases, two types of AI have emerged: narrow AI and general-purpose AI. The potential commercial benefits to both are significant: the highly specialised narrow AI can help businesses resolve fundamental resourcing issues, taking labour-intensive administrative work off the desks of their teams and utilising their time more effectively, while the rapid adaptability of general-purpose AI offers fast, flexible support to address a broad range of tasks.
Although the two aren’t mutually exclusive and can both work for different areas of a business, in this whitepaper we cover the key differences that must be acknowledged if businesses are going to realise the full potential of AI.
There’s no doubt that AI is transforming the future of business. How it can transform yours depends on whether you have set up your organisation for success – and that starts by recognising the challenges you need to solve, and the AI tools you need to solve them.
Confectionary company elevating short-term forecasting
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.
Beverage manufacturer reducing order processing time
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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