A leading residential and commercial moving company set out to improve its operations because it kept having substantial problems due to an outdated system.

The original platform frequently crashed and struggled to support business growth.

It had not scaled with their needs and the original developer was no longer available for updates. They needed a new system to support their business operations and long term growth.

So they chose apHarmony based on their high quality solutions, expertise and strong technical capabilities.

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According to Anchor Group, the AI-enabled eCommerce market has surpassed about $8.6 Billion in 2025 and is growing rapidly in 2026.

Cubeo also reported that nearly 80-90% of retail and eCommerce companies are using or testing AI in at least one function.

If you’re not already using AI in your business – you will fall behind your competition.
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The numbers back it up. Cubeo reported that nearly 80–90% of retail and eCommerce companies are already using or testing AI in at least one function. Companies that aren’t are missing an opportunity and falling behind businesses that are actively using AI to convert more customers, increase order values, and build lasting loyalty.

So what does that actually look like in practice?

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

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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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