Right across the value chain there will be opportunities to find growth and efficiency. At the planning stage, for instance, organisations may look to advanced customer analytics, from customer segmentation to emotion analysis, and automated customer journeys. Some retailers are already using emotion analytics to refresh brand cues, helping them stand out among competitors and stand up on social issues.
Elsewhere, retailers are experimenting how AI more broadly can inform the design stage through multi-modal trend analysis across data and images, and using AR design systems to develop new products. Across the supply chain, AI can also support the buy with advanced supplier selection, ESG passports and intelligent contract negotiations.
More ‘rudimentary’ uses of technologies, such as automated chatbots to manage small suppliers, AI-enabled localisation ranges, dynamic pricing and 3D product catalogues are helping find efficiencies. In marketing, GenAI is already being used in anything from content creation and translation to hyper-personalised experiences. And it can really supercharge the efficiency through intelligent supply chains and using AI-powered robotics in fulfilment centres.
There is undoubtedly significant potential out there. But in the excitement to adopt these emerging technologies - particularly GenAI - retailers must ensure that they have the right foundations first. Failing to have the right technology and data in the right place for adoption will only exacerbate poor data, bias, toxicity, lack of data control, and more.
Creating long-term value will require serious investment in skills and culture, risk and governance, as well as cloud and data infrastructure: the right guardrails, data security and human involvement to mitigate against such issues.