AI agents for customer support teams in manufacturing

A buyer at an OEM account emails asking when 400 housings will arrive. The rep checks the ERP for the promised date, the carrier site for tracking, and the plant for whether the run slipped, then types three paragraphs, and the same question comes from five other accounts that morning.

→An agent reads each order status ticket, pulls the promised date from the ERP, the tracking from the carrier, and the production note, and drafts a reply. The rep reads and approves a prepared answer instead of building it.

A warranty complaint arrives as a forwarded email with a blurry photo and no serial number. The rep exchanges four emails to collect the lot, the install date, and the failure description before quality can even look at it.

→An agent reads the complaint, looks up the order and warranty period from the serial or lot, drafts a request for any missing evidence, and hands quality one complete packet. Whether the claim is accepted is decided by your quality team.

Distributors ask for certificates of conformity, material certs, and the latest datasheet revision several times a week, and each request means searching shared folders, checking which lot shipped, and attaching files by hand.

→An agent finds the certificate by lot or serial, checks it is the released revision, and drafts the reply with the files attached. Your rep confirms and sends it, so the document goes out in minutes rather than the next afternoon.

Tickets sit in a shared inbox until someone notices that a key account has been waiting two days. The plant has promised a revised ship date, but the customer was never told because nobody owned the update.

→An agent watches response targets, flags tickets close to breach to the lead, and drafts proactive status notes for customers whose order dates moved. Notes wait for approval, and the account owner sees every escalation.