E-commerce retailer selling home goods and decor with 800 SKUs, processing 1,200 orders per month with seasonal peaks reaching 3,000+ orders, supported by 3 customer service staff.
Customer service staff spent 60% of their time answering order status inquiries that could be resolved by checking the shipping system. Ticket volume tripled during holiday peaks, creating multi-day response backlogs.
Returns and exchanges required manual processing including customer communication, return label generation, inventory updates, and refund processing. Each return took 20 to 30 minutes of staff time across multiple days.
Inventory management relied on weekly manual counts and gut-feel reordering. Popular items frequently sold out during peak season while slow movers accumulated excess stock, tying up working capital.
Product launch timing was inconsistent because inventory availability, supplier lead times, and seasonal demand patterns were tracked in separate spreadsheets with no integrated planning view.
We deployed an order status and returns agent that connects to the order management system and shipping carriers. The agent handles inquiries about order status, tracking numbers, delivery dates, and return requests without human intervention.
Return processing was fully automated. Customers initiate returns through a web form or email. The agent validates return eligibility, generates prepaid labels, updates inventory upon receipt, and processes refunds. Staff only handle exceptions like damaged items or policy disputes.
Inventory reorder automation analyzes sales velocity, seasonal trends, and supplier lead times to generate reorder recommendations. The system alerts staff when stock levels trigger reorder points and provides suggested order quantities.
The agents integrate with Shopify, ShipStation, and the existing inventory management system. Customer conversations sync to the helpdesk platform so staff have full context when handling escalations.
Email and SMS notifications keep customers informed at each step of the order and return process, reducing inbound inquiries and improving customer experience.
Customer inquiries via email or chat are analyzed and categorized by type
Order status, tracking, and policy questions are answered instantly with system data
Return requests are validated against policy, and labels are generated automatically
Returned items update stock counts and trigger quality checks
Approved returns initiate automatic refunds with customer notification
Stock levels are monitored continuously with recommendations based on sales patterns
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