Grow2.ai builds order-and-support agents for e-commerce operators. Typical outcome: order-status questions auto-resolve at 80%+ rate, returns-flow leakage drops as the agent handles the routine 70% and escalates the unhappy 30%, and post-purchase upsell sequences become per-product instead of generic. Shopify-native, Stripe-aware, returns-portal-integrated.
E-commerce support inbound is dominated by ten questions, asked thousands of times: "where is my order", "how do I return", "is this in stock in size M". A generic LLM chatbot answers six of them well and three of them wrong; the customer remembers the three. Grow2.ai builds an agent that reads order state live, refuses cleanly when uncertain, and escalates to a human at the right moment.
Best fit: 30-300 SKU DTC brands on Shopify / WooCommerce / custom Next.js stack, processing 200-5,000 orders/week, currently using Gorgias / Zendesk / shared inbox, with EU + UK customer base.
Order-status, returns flow, inventory-aware product questions, sizing / fit guidance. Citation-first against your product catalogue.
▸ Module catalogue — for the full scope, metrics and pricing of M-03 Concierge.
Captures customer intent, sizing notes, return reason, NPS signal — populates customer record for retention sequences.
▸ Module catalogue — for the full scope, metrics and pricing of M-04 CRM Scribe.
ShopifyWooCommerceGorgiasKlaviyoStripeReturnly / LoopOn something else? Grow2.ai builds the integration during the 14-day pilot — that's part of the engagement, not extra.
Yes — Grow2.ai wires the agent to Shopify (or your stack) for live read access. The agent never says "in stock" without checking; it never says "your order has shipped" without seeing the fulfilment record. If the data source is unavailable, it defers cleanly with "let me check that and come back to you" rather than guessing.
Three rules. First, no defensive language — the agent never argues with a returns reason. Second, the agent escalates to a human if the customer uses any of a co-written list of escalation triggers (anger keywords, complaint about quality, second contact within 24h). Third, the human escalation arrives with the conversation summary and a suggested resolution — empathic but not committal.
It can, with restraint. Grow2.ai's default position is that aggressive cross-sell from a support agent erodes trust faster than it earns revenue. The agent will surface a relevant complementary product if it answers a question that's clearly headed there ("how do I clean these boots?" → suggest the boot-care kit), but it won't inject upsells into unrelated conversations.
A 30-minute call to scope the workflow and the contractual KPI for e-commerce & direct-to-consumer brands. Grow2.ai will tell you on the call whether your number is achievable in 14 days — or not.