For many B2B companies, the order-taking process is a mix of emails, phone calls, forms, and follow-ups. It works — until it doesn’t.

Slow turnaround times, input errors, and unclear requests all introduce friction. AI offers practical ways to clean this up, reduce costs, and improve service.

McKinsey reports that companies using AI in customer operations have seen an average 35% drop in operating costs and a 32% increase in revenue.

These gains come from better efficiency, fewer mistakes, and faster response times.
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The AI landscape in 2025 is flooded with potential and false starts.

Across industries, companies have launched initiatives with high hopes. But many stall before they ever deliver real value.

The pattern is consistent: early excitement, a flashy demo, and then… nothing. The model can’t scale. The results aren’t consistent. The data isn’t usable. The project dies quietly.

And this pattern is accelerating.

This year, S&P Global reports that 42% of companies have shut down the majority of their AI initiatives—nearly triple the rate from the year before. MIT adds another layer: 95% of generative AI pilots fail to exit the testing phase.

These aren’t growing pains. They’re signs of a deeper design flaw.

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If you’re still processing orders manually, you’re paying a price; and not just in dollars.

Manual order entry drains time, inflates costs, and invites mistakes. According to McKinsey, businesses that rely on manual processing spend 30% more on operational costs than those that automate. That’s money lost to inefficiency — time spent on repetitive tasks, corrections, and rework.

And it’s not just the cost. It’s the risk. Manual data entry has an average error rate of 3% — that’s 3 mistakes for every 100 orders. In fast-moving sectors, those mistakes ripple out: botched deliveries, frustrated customers, and lost trust. In a market where speed is currency, even one wrong digit in an order can turn into a reputation problem.
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Site speed is rarely the loudest voice in a product meeting. It’s easy to put off in favor of a feature improvement or customer request. But speed is revenue.

It’s one of the few levers you can pull today that will pay you back this quarter.

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After 15 years of working in eCommerce, one thing is clear: making it easier for customers to purchase and support themselves drives revenue.

Too often, companies rely on systems integrations as drivers of change, while neglecting to streamline the actual customer experience throughout their site.

Think of your online store, customer portal, and associated systems as a sales team working around the clock. If the systems are clunky and difficult to use, they frustrate customers and result in lost business.
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