In enterprise commerce, totals don't drift because someone forgot algebra. They drift because reality changes: promos expire, eligibility changes when an address arrives, catalog data updates, substitutions happen, and returns unwind prior discounts. When someone asks "why did the total change?" you need more than narration. You need evidence - a trail of facts you can replay and a pure computation that deterministically produces the same result.
Retail point-of-sale systems today offer a wide range of options for peripherals and hardware. Their technical specifications play a major role in selection, and big retailers often choose multiple vendors to reduce a single point of failure. This gives them an advantage to negotiate price or support as well. Technically, these peripherals also require updating with new models and may have new feature sets. This necessitates the redevelopment of point-of-sale applications, increasing development costs.
Perusing the grocery aisle in the Westside Market on 23rd Street in Manhattan, you might not even notice the screens. They look just like paper price labels and, alongside a bar code, use a handwriting-style font we've come to associate with a certain merchant folksiness. They're not particularly bright or showy. The only clues that they're not ordinary sticky shelf labels are a barely distinguishable light bulb and, on some, a small QR code.
We are now in a time of manufacturing where precision is more than a technical necessity; it's a business requirement. The more complex, globally dispersed and demanding things get, the less slack remains in the system. Under these circumstances tolerance management has become a decisive competence and affects competitiveness not only in terms of controlling costs, ensuring quality and improving production efficiency but also for long term market success.
Surveys suggest customers want to use AI for shopping and to see AI tools from retailers. In a CI&T survey conducted in 2025, 58% of 1,040 U.S. consumers said retailers should use AI to improve the shopping experience, and almost 75% said they were already using AI tools at least occasionally in their path to purchase. In a separate survey from Gartner last March, 56% of millennials said they would be willing to let AI handle or assist with some of their shopping tasks.
Whole Foods shelves sit empty after a data breach shut down its wholesale distributor. Meat packers working for JBS Foods are paralyzed as an $11 million ransomware attack takes out their processing facilities. Some 2.2 million workers at Stop & Shop and Hannaford have their personal data exposed as the result of a cyberattack on parent company Ahold Delhaize USA. These scenarios, straight from a William Gibson novel, are becoming increasingly common in supply chains across the world.
Retail is no longer just about buying and selling products; it is about the experience. In a world where online shopping offers instant gratification, physical stores face the challenge of providing something the internet cannot: a personal, tactile, and efficient service. The checkout counter has traditionally been a point of friction, with long queues, slow card machines, and impersonal interactions. However, the modern Electronic Point of Sale (EPOS) system has completely reshaped this dynamic.
