Macy’s is reporting early gains from a newly deployed artificial intelligence chatbot designed to personalise shopping experiences, underscoring the growing role of generative AI in retail strategy. According to the article “Macy’s new personalising AI chatbot drives basket values inside a few weeks” published by MarketingTech News (https://www.marketingtechnews.net/news/macys-new-personalising-ai-chatbot-drives-basket-values-inside-a-few-weeks/), the US department store chain has already seen measurable increases in customer basket values within weeks of launch.
The chatbot, integrated into Macy’s digital platforms, is intended to guide customers through more tailored product discovery by offering contextual recommendations based on user preferences and behaviour. Rather than relying on static filters or traditional search functions, the system uses conversational prompts to refine suggestions in real time, aligning with broader retail efforts to reduce friction in online shopping journeys.
Early performance indicators suggest that personalization driven by AI can have a direct commercial impact. Macy’s reported that customers engaging with the chatbot tended to add more items to their carts and complete higher-value transactions compared with those using standard browsing tools. While the company has not disclosed detailed financial figures, the initial uplift is being interpreted as a signal that conversational commerce tools may help retailers counter slower discretionary spending.
The deployment reflects a wider industry shift toward embedding generative AI into customer-facing experiences. Retailers have been experimenting with chatbots for years, but advances in large language models have significantly improved the quality and flexibility of interactions. Macy’s implementation appears to focus on narrowing the gap between in-store and online experiences by replicating the role of a sales associate who can respond dynamically to customer queries.
However, the rollout also raises questions about scalability and long-term effectiveness. AI systems require ongoing training and oversight to ensure accuracy, relevance, and brand alignment. There are also considerations around customer trust, particularly in how data is collected and used to inform recommendations. Industry analysts note that while early engagement metrics are promising, sustained success will depend on whether customers find the tool consistently helpful rather than intrusive.
Macy’s move comes at a time when traditional department stores are under pressure to modernise their digital offerings amid competition from e-commerce platforms and direct-to-consumer brands. By investing in AI-driven personalization, the company is positioning itself to better leverage its existing customer data while differentiating its online experience.
As retailers continue to test the commercial viability of conversational AI, Macy’s early results suggest that even incremental improvements in personalization can translate into tangible revenue gains, at least in the short term. Whether this momentum can be maintained as the technology matures will be a key test for both Macy’s and the broader retail sector.
