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Manufacturing and Retail Fall Behind on AI as Supply Chain Costs Rise


Manufacturing and Retail Fall Behind on AI as Supply Chain Costs Rise
  • by: PR Newswire
  • |
  • October 20, 2026

Six in ten retailers, wholesalers and manufacturers are worried about their supply chains and expect rising sourcing and transport costs over the next year. The right kind of AI could ease that pressure, according to experts. But adoption in these sectors lags behind the rest of the UK economy, and fewer businesses there say AI is actually improving how they operate.

Quick Intel

  • Six in ten retailers, wholesalers and manufacturers worried about supply chains expect rising sourcing and transport costs.
  • UK AI adoption at 34.7% overall, but manufacturing at 26.9% and wholesale and retail at 28.4% falling behind.
  • Only 47% of AI users in these sectors say AI improves operations vs 59% nationally.
  • Most adopted AI is for content creation, data processing for forecasting trails at 2.7% in wholesale and retail.
  • Wholesale and retail 53.6% adopted via free software, manufacturers 34.6% via purchased software vs 42.8% nationally.
  • Forecasting highest demanded AI capability among AGR clients but least adopted per ONS figures.

Wholesale and Retail Lag Just as Supply Chain Costs Rise

AI use among UK businesses has climbed to 34.7% as of June 2026, according to Office for National Statistics data. Manufacturing sits at 26.9%, while the wholesale and retail sector sits at 28.4%. The industries that keep Britain's shops stocked and factories running have adopted AI more slowly than the country as a whole.

Inefficient supply chains are one of several drivers of rising prices, and part of the cost tends to land on the shopper. AI built for forecasting could ease some of that pressure, according to Sigrún Gunnhildardóttir, CPO at AGR Inventory, a company providing demand forecasting and inventory planning software to wholesalers, retailers and manufacturers.

"A lot of it comes down to reactive procurement, paying a premium for expedited freight and emergency safety stock because the shortage wasn't forecast. It's a real driver of margin compression, and some of it shows up in the price consumers pay," says Sigrún.

Nationally, close to 59% of businesses using AI say it's improving their operations, the single most common reason given. In manufacturing, wholesale and retail, that figure drops to around 47%, roughly 12 points behind the national average, despite these being the sectors where operational tools like forecasting and inventory planning could counteract rising prices.

"Looking at the numbers, most of what's been adopted in these sectors won't help anyone decide how much stock to order," says Sigrún.

Mostly Free, Mostly for Content Creation

Businesses in wholesale and retail are more likely than the national average to have adopted AI through free software, and manufacturers are noticeably less likely to buy dedicated tools. Among the AI these sectors do use, text and visual content creation are the most common applications. Data processing, the type of AI behind demand forecasting, trails well behind.

ONS Business Insights and Conditions Survey Wave 159 shows 17.1% of all UK businesses use AI for text generation and 7.6% for data processing. In manufacturing, 7.5% for text generation and 6.1% for data processing. In wholesale and retail, 14.6% for text generation but only 2.7% for data processing. For adoption via free software, wholesale and retail at 53.6% vs 44.5% nationally, manufacturing at 49.1%. Via purchased software, manufacturing at 34.6% vs 42.8% nationally.

"Off-the-shelf models have no visibility of stock positions, supplier lead times or demand history. Without that context, they can't support a replenishment decision. And businesses need to be able to see what data an AI recommendation is based on, rather than simply being given an answer," says Sigrún.

Forecasting Most Wanted Capability but Least Adopted

Forecasting is the AI capability in highest demand among the manufacturers, wholesalers and retailers AGR works with, rated above every other option the company has asked about. The type of AI it relies on, advanced data processing and modeling, are among the least adopted in these sectors.

"When our clients tell us what they want from AI, forecasting comes first. They want earlier warning on demand shifts, anomalies and the effect of promotions, so they can plan replenishment around it," says Sigrún.

With six in ten of those concerned about their supply chains expecting sourcing and transport costs to rise over the next year, the gap between what these businesses want from AI and what they've adopted could become costly.

"These businesses want AI, and they're under pressure on costs. But they don't just want more AI. They want tools that understand their operational data, show them how recommendations are reached and leave them in control of the final decision. That's very different from simply giving employees access to a general purpose AI tool," says Sigrún.

Methodology based on ONS BICS Wave 159 and Wave 163, plus survey of 50 members of AGR Inventory's customer panel conducted July-August 2026.

 

About AGR Inventory

AGR Inventory provides demand forecasting and inventory planning software to wholesalers, retailers and manufacturers, helping optimize stock levels and supply chain operations.

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