Merchandise Displayers and Window Trimmers

At present, AI mostly helps with analysis and design ideas, but humans still do the hands-on work. For example, a consultancy report describes a “digital worker” that could guide store staff when setting up a new seasonal display: it would send instructions and even check a photo of the finished display to make sure it matches the plan ^[1]. This shows AI can automate coordination and quality checks (it “reads” the photo), but it doesn’t physically build the display itself.

Similarly, generative AI tools can create store-layout or product visuals (in fact, Amazon uses AI to turn basic product shots into lifelike scene images to boost sales ^[2]). These tools could help plan window displays faster. And AI already powers things like dynamic pricing and digital signage (machines can update prices or highlight products in real time based on data ^{[3] [2]}).

However, tasks like installing mannequins, arranging carpets or handing out price tags remain manual. So far, most automation in retail has been about data or imagery, not replacing the creative, hands-on work of merchandisers ^{[1] [2]}. Displays still need a human’s eye for design and a person’s hands to set them up.

Retailers have some incentive to try AI, but uptake is gradual. Many larger chains are experimenting – for instance 90% of retail leaders report at least pilot projects with generative AI ^[2]. Companies like Lindex (a clothing retailer) have even deployed an AI “co-pilot” to advise store teams on everyday tasks ^[2].

And market research predicts tools for store analytics and visual design will grow quickly (perhaps 15% annual growth through 2027) as retailers seek more data-driven displays ^[4]. Still, costs and practical issues temper adoption. AI solutions can be expensive and need good data and staff training; one report notes many retailers find it hard to integrate AI and worry about costs and data quality ^{[2] [2]}.

Also, the jobs of window trimmers often pay modest wages, so the cost of advanced robots or apps must be worth the benefit. In practice, owners may see more short-term gain in sales or speed rather than cutting staff right away.