10–20 Hours Saved Per Week with ERP Automation

Like many mid-market retailers, Designer Boys ran their business on two critical platforms: a robust ERP system for inventory, finance, and back-office operations, and a modern eCommerce store for customer-facing sales. The problem? These two systems didn’t talk to each other.

Every day, the team was manually exporting data from one system and importing it into another. Orders placed online had to be re-keyed into the ERP. Inventory levels updated in the ERP had to be manually synced back to the storefront. Customer records existed in multiple places, each slightly out of date.

The result was a team spending 10–20 hours per week on pure data entry — work that added no value, but that couldn’t be skipped. Every hour wasted copying data was an hour not spent growing the business.

• ✗Manual order syncing between eCommerce and ERP
• ✗Inventory levels frequently out of sync, causing oversells
• ✗Customer records duplicated across systems
• ✗Team morale suffering from repetitive, error-prone work

Designer Boys implemented appse ai as the middleware layer sitting between their ERP and eCommerce store. Instead of two siloed systems, they now had a real-time integration layer that kept everything in sync — automatically.

appse ai's AI-powered automation engine mapped the data flows between systems, handling the translation and transformation logic that previously required manual intervention. The team configured their sync rules once, and appse ai handled everything from there.

• ✓Automated order sync: new orders flow from eCommerce to ERP instantly
• ✓Inventory updates push from ERP to storefront in real time
• ✓Customer data unified across both platforms
• ✓Error alerts and monitoring built in — no more silent failures

After deploying appse ai, Designer Boys immediately reclaimed 10–20 hours of team time every week. What had been a daily grind of data entry became fully automated, running silently in the background while the team focused on the work that actually mattered.

Beyond the time savings, operations became noticeably smoother. Inventory accuracy improved, order fulfillment became faster, and the team no longer had to worry about the two systems drifting out of sync.

Dan also highlighted the quality of support: the appse ai team's responsiveness meant that when questions came up or adjustments were needed, they were resolved quickly — no waiting on slow ticket queues.