AI Agents for E-commerce.
Most e-commerce support load is predictable: returns, order status, reorder questions, and stockout disappointment. These aren't complex — they're just high volume. We build agents that handle them completely so your team can focus on growth.
Four workflows that are eating your team's bandwidth.
Every one of these is high-volume, low-complexity, and ready to automate.
Returns & exchange agent
The problemReturns are the highest-volume, most repetitive support interaction in e-commerce. Every return that hits a human rep costs you $6–12 in labor while the customer waits.
The agentThe agent handles the full returns flow: validates order eligibility, presents exchange options, generates the return label, and updates your OMS — all in the same conversation thread. Edge cases and high-value customers escalate to humans. Everything else resolves in under 3 minutes.
Reorder & replenishment agent
The problemConsumable products have predictable repurchase windows. Most brands send the same email to everyone on the same schedule and convert 2–4% of them.
The agentThe agent tracks per-customer purchase cadence — not category averages. When someone's personal reorder window opens, it sends a contextual nudge with the exact product they bought, adjusted for any price changes or bundle upgrades. Timing is personalized, not batch.
Stockout alert & waitlist agent
The problemWhen a product goes out of stock, you lose the sale and often the customer. Back-in-stock emails go to everyone — most of them have already bought elsewhere.
The agentThe agent monitors inventory levels and triggers waitlist capture the moment a SKU drops below threshold. When stock returns, it segments the waitlist by purchase probability — high-LTV customers get SMS, everyone else gets email — and closes the loop within minutes of inventory being updated.
Supplier & fulfillment monitoring agent
The problemYour 3PL sends daily reports in PDFs. Your supplier communicates via email chains. By the time you spot a fulfillment delay, it's already created customer service tickets.
The agentAn agent ingests data from your 3PL, supplier portals, and carrier APIs. It watches for anomalies — delayed shipments, inventory discrepancies, unusual return spikes — and surfaces them proactively with a recommended action before they become visible to customers.
What moves when you build the agent layer.
Support cost per order drops when a returns agent handles the full flow without human intervention on standard cases.
Repurchase rate on consumables improves when reorder timing is based on individual cadence rather than category averages.
Stockout recovery becomes faster and more targeted when waitlists are segmented by customer value at capture time.
Ops team time shifts from reactive firefighting to proactive planning when fulfillment anomalies surface before tickets do.