Wholesale and Retail Buyers, Except Farm Products

Modern retail buyers often use AI to help with data-heavy tasks. For example, some chains have computer systems that constantly adjust prices based on demand ^[1]. A grocery chain uses digital shelf labels that an AI tool updates every 15 minutes to mark down items nearing expiry, which cut food waste by 250 tons a year ^[2].

AI also helps forecast demand and manage inventory by analyzing sales trends and supply information ^{[1] [3]}. These tools speed up routine work.

At the same time, human skills remain crucial. Buyers still inspect product quality, judge trends, and build supplier relationships – tasks that need personal experience and trust. Experts point out that automation is about “working smarter, not harder,” not about replacing people ^[2].

In practice, today’s AI handles repetitive number-crunching, but human buyers use judgment, creativity, and people skills for strategic decisions that machines can’t make ^{[3] [2]}.

Retailers generally see AI as a way to boost efficiency. Surveys find most retailers using AI report higher sales and lower costs ^[1], so many are increasing AI budgets ^[1]. Government data still project about 5% job growth for buyers through 2034 ^[4], but tight store budgets and fewer staff after recent layoffs ^[3] make companies hope AI can handle routine chores.

However, adopting AI takes time and money. New systems and devices can be expensive to set up. For example, only a few U.S. grocers have switched to digital price tags, because replacing every paper label costs millions of dollars ^[2].

Suppliers and stores must also be on the same page with technology ^[3]. Customers can be wary too: early experiments with surge pricing in restaurants angered shoppers ^[5], and officials are watching to prevent unfair pricing tactics ^{[2] [1]}.

Overall, companies will weigh costs and trust. Most experts agree that AI will mostly take over the boring data work, freeing buyers to spend more time on tasks needing a human touch ^{[3] [2]}. In other words, by handling routine analysis, AI can let people focus on creative planning, negotiation, and relationships – skills that keep these jobs important in the future.