This transformation has positioned them as a driver of innovation, allowing retailers to set trends, build loyalty, and command greater influence over entire categories.
From a practical standpoint, this has been pursued in multiple ways, with digital tools and AI technologies enabling retailers and brands to be faster, smarter, and more consumer-centric in design, sourcing, production, and marketing.
AI-driven tools have been an undeniable trend in recent years, enhancing product formulation, consumer demand prediction, and even flavour invention, enabling the rapid development of products that align with emerging diets, functional health trends, and cultural tastes.
One challenge for retailers and brands is managing vast amounts of data, encompassing internal sales data, loyalty program insights, supplier partner information, third-party reports, and other relevant information. However, data is key in driving decisions around pricing, demand, assortments, and Private Brand strategies. So, retailers and brands are exploring the use of AI to automate insights and develop a more personalised in-store and online shopping experience.
In addition, AI-enhanced personalisation also opens new pathways for players to explore in the future, catering for particular traits or preferences. In this regard, retailers can now utilise loyalty data to develop micro-targeted products for key demographics, creating unique SKUs tailored to specific communities or lifestyle needs. This kind of innovation positions Private Brands not just as competitors, but as faster, more adaptive forerunners when compared to national brands.
USA retailer Kroger is using AI analytics for trend analysis and Private Brand development. Earlier this year, the retailer announced plans to roll out “trendy” Private Brand products—like mushroom tea and Hatch chile-flavour kettle chips—and is targeting the launch of 900+ new items within the year (Grocery Dive). This surge in Private Brand SKUs is closely tied to Kroger’s use of AI to analyse market trends and customer preferences, enabling it to identify emerging demand niches and respond with on-trend product development.
Digitalisation and AI can also play a key role in the optimisation of a retailer’s portfolio by flagging potential pain points and fostering teams to act pre-emptively. For example, the focus on removing artificial or harmful ingredients is becoming increasingly relevant, making product reformulation a must-have for retailers and brands. However, with potentially thousands of items in the assortment, retailers may be unaware of which products contain ingredients that should be removed or phased out in the near future.
Resorting to platforms that offer an up-to-date and thorough overview of all specifications and touchpoints throughout a product's lifecycle can significantly simplify the reformulation process. Instead of the labour-intensive task of individually monitoring each SKU, these tools can deliver a digitised inventory of product information and ingredient details. This approach allows retailers and suppliers to quickly access the information they need, saving considerable time and ensuring the data is accurate and trustworthy, ultimately reducing risks and building trust.
Majid Al Futtaim, which owns the exclusive rights to operate Carrefour in the UAE, has recently announced the deployment and rollout of Advertima’s Audience AI across its hypermarkets, in partnership with its retail media network, Precision Media. The objective is to “unify the online and in-store retail media buying experience”, using visual-spatial 3D sensors to identify who is shopping in-store, such as families, young professionals, or bargain hunters, and deliver tailored messages to them in real-time through digital screens. Although the primary focus of AI in this context is on media and national brands, there is a significant opportunity to leverage these real-time insights to determine which Private Brand products appeal to specific shopper segments. This information can then guide assortment strategies as well as future product development.