AI-powered category management: A genuine solution or simply marketing hype?
In the rapidly evolving world of retail, Artificial Intelligence (AI) is making a significant impact, revolutionising aspects such as assortment, merchandising, and execution. On July 30 at 12pm ET, a webinar titled "AI Data-Driven Category Management" will be hosted on LinkedIn, Facebook, and via email, offering insights into this transformative technology.
The webinar, organised by industry leaders, will delve into the ways AI is enhancing category management, a crucial aspect of retail that has been grappling with challenges like outdated planning cycles, scattered data, and slow decision-making. Retail giants like Lowe's are already leveraging AI, computer vision, and digital twins to test layouts, adjust product placements based on season or weather, and react faster to viral trends.
AI is also being utilised in forecasting to avoid empty shelves, spot demand swings before they appear in Nielsen, and predict rising trends in food and consumer behaviour. Companies such as Impact Analytics, which raised $40 million in 2024, are helping Consumer Packaged Goods (CPGs) analyse shopper and sales data to determine ideal product mixes and pricing by retail account, not by region.
Moreover, AI is streamlining digital visual merchandising and store execution, allowing teams to test layout ideas, try different product setups, and see what drives sales before making real-world changes. This has been demonstrated by companies like Constructor, which reported a 9% lift in search revenue and a 93% drop in bounce rates with Target Australia by personalising discovery and search in real time.
However, the implementation of AI solutions in category management and merchandising is not without its challenges. Ensuring data quality and integration, managing implementation costs, educating employees, integrating AI with existing systems, and strategically aligning AI with business goals are all crucial considerations. Organisational resistance, legacy systems, and a lack of time are identified as the top blockers for AI implementation, according to a 2025 BCG survey.
To address these challenges and discuss the future of AI in retail, a live discussion featuring leaders from BCG, Deloitte, Daisy Intelligence, Lumi AI, and the head of news and research at our socials is scheduled for July 30. Additionally, startups like Aravita, based in Brazil, are helping supermarkets fine-tune order quantities for perishables using data from weather, demand patterns, inventory, and shelf life.
Despite these challenges, the potential for AI to improve category management is immense. However, progress has been slow due to factors like long sales cycles, clunky tech integrations, and overworked teams. With the right strategies and approaches, AI has the power to revolutionise retail, making it more efficient, personalised, and responsive to consumer needs.
For more information and registration for the webinar, please visit the provided link.
- The webinar, led by industry leaders, will explore how AI is improving category management, a critical retail aspect that has been dealing with challenges such as outdated planning cycles, scattered data, and slow decision-making.
- Beyond retail, AI is used in finance by companies like Impact Analytics to analyze shopper and sales data, helping Consumer Packaged Goods (CPGs) determine ideal product mixes and pricing by retail account, not by region.
