Generative AI has been the focus of intense interest for retailers and consumer goods companies over the last year. For those employing it effectively, it holds increasing potential to streamline operations, improve productivity and deepen customer relations.
But where should retailers and brands be prioritising investment to see the greatest returns when it comes to Gen-AI? And how can they take their use of this rapidly advancing technology to the next level?
In this whitepaper, we explore:
- Early adopter results from employing Gen-AI tech
- Key use cases, showing how AI Co-Pilots free your team to focus on valuable tasks, while supporting them to optimise decision making across key retail disciplines. These include:
- Category planning Co-Pilots - which comprehend complex data to diagnose, predict, summarise, and make recommendations.
- Demand planning Co-Pilots – which help sync supply with demand, by better analysing and interrogating underlying data faster and more efficiently.
- An outlook for priorities in 2024 and beyond
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