Scaling support without scaling headcount for an online retailer. 65%.

of tickets auto-resolved. Support automation resolved 65% of tickets instantly and kept inventory synced across tools, letting the retailer double order volume on the same team.

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65%of tickets auto-resolved

2xorder volume, same team

42%faster response time

5 wksto launch

Where the time was going.

Ticket volume was rising faster than the team could hire. Most tickets were the same handful of questions: where is my order, how do returns work, is this in stock. Agents spent their day on repetition and burned out on it.

Behind the scenes, order and inventory data lived in several tools that did not agree with each other. Oversells and 'in stock' items that were not created their own wave of angry tickets.

Hiring was not a real answer; the unit economics of throwing bodies at support do not work when order volume is doubling.

What we shipped.

We automated the repetitive support layer and fixed the data underneath it so support stopped generating its own tickets.

01Support automationAn assistant answers order, shipping, and returns questions instantly by reading live order data, and starts returns when eligible.

02Inventory syncStock and order data are kept consistent across the commerce platform and inventory system automatically, ending oversells.

03Human handoff with contextAnything outside the routine is escalated to an agent with the full conversation and order history attached.

04Proactive updatesCustomers get proactive shipping and delay notifications, which removes the 'where is my order' tickets before they happen.

What changed.

The retailer absorbed a doubling of orders without adding support staff.

Two-thirds of tickets now resolve instantly, response time fell 42%, and the inventory fixes removed a whole class of complaints. Agents moved to the complex, high-value conversations that actually need a person.

65%tickets fully auto-resolved

−42%average response time

2x ordershandled by the same team

“We doubled orders and our support team got smaller workloads, not bigger ones.”

Head of Operations, online retailer

Built with, and what you own.

The retailer owns the assistant configuration, the integrations, and the knowledge base. It runs on their helpdesk and accounts.

HelpdeskCommerce platformInventory systemAI assistantn8n

AI Customer Service SolutionsAI Inventory ManagementAI Chatbots and Virtual Assistants

Questions about this build.

What happens to complex tickets?

They escalate to a human with full context. Automation handles the repetitive majority so agents can focus on the rest.

Which platforms do you support?

We integrate with the common commerce, helpdesk, and inventory tools and move data cleanly between them.

Other builds.

Cutting no-shows for a multi-location dental groupCapturing every after-hours call for an HVAC contractorSub-minute lead response for a real estate teamEnding manual data entry for an accounting firm

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