Industry — Retail & eCommerce

AI Automation for Retail & eCommerce

Automate product feeds, customer support, order management, and inventory workflows — so your team can focus on growth, not operations.

Featured Case Study

How a Shopify Apparel Brand Auto-Resolved 65% of Support Tickets
with an AI Customer Service Agent

Inside the Zendesk-integrated Claude 3.5 Sonnet rollout that gave a BC DTC brand instant, on-brand replies — without growing the support team.

Customer browsing apparel in a modern retail store

eCommerce support isn't just about closing tickets — it's about how a brand feels in the moments after the sale. For a direct-to-consumer apparel brand in BC doing roughly $8M in annual revenue, the inbox had become unsustainable. A three-person support team was buried under 600+ tickets a week, working evenings and weekends, and average first-response time had crept past eight hours.

"Our customers get fast, accurate answers, and our team finally has the bandwidth to handle the 35% of cases that genuinely need a human. We didn't have to hire — we just stopped wasting our team on questions a system can answer."

Neatly arranged apparel rack in a boutique store

We deployed an AI Customer Service Agent that lives inside Zendesk and handles the high-volume, repeatable conversations end-to-end. Built with Claude 3.5 Sonnet and connected to the Shopify API, the agent reads every incoming ticket, classifies intent, pulls the relevant order in real time, and drafts on-brand replies for order status, returns, sizing, and shipping — and can initiate returns or issue store credit within policy without a human approval.

With the AI handling the routine 65% — and quietly escalating damaged goods, custom requests, and genuine complaints to a human teammate with full context attached — the support team could finally close their evening laptops, take the weekend back, and focus on the cases that actually needed their judgement and care.

Client identity protected by NDA. Results from a representative engagement; outcomes vary by client context, data quality, and implementation scope.

AI That Runs Your Retail Operations

AI Customer Support Agent

Handle order status, return requests, and product questions automatically — across chat, email, and SMS at any hour. Complex or sensitive cases escalate to your support team.

ZendeskGorgiasGPT-4o

Order & Fulfillment Automation

Auto-sync orders across platforms, trigger fulfillment workflows, send shipping notifications, and update inventory counts without manual effort.

ShopifyShipStationMake

Product Feed & Catalog Automation

Keep product listings, prices, and availability in sync across Shopify, Amazon, Google Shopping, and other channels automatically.

ChannableGoogle Merchantn8n

Inventory Intelligence

AI agents monitor stock levels, predict reorder points, send low-stock alerts, and auto-generate purchase orders for your top-moving SKUs.

NetSuiteCin7Airtable

Returns & Refund Automation

Automatically process return requests, issue labels, trigger refunds on approval, and update your inventory — significantly reducing manual handling time in suitable workflows.

Loop ReturnsStripeZapier

Post-Purchase Email Flows

AI-personalized post-purchase sequences: review requests, cross-sell recommendations, win-back campaigns — triggered by behaviour, not just time.

KlaviyoGPT-4oHubSpot
What Automation Can Achieve in Retail & eCommerce
Up to 70%
Potential reduction in support tickets handled by humans — in deployments with a well-maintained knowledge base (results vary)
High
Order sync accuracy in well-configured, stable integrations — actual performance depends on platform stability and data consistency
Faster
Return processing time reducible in structured, automated return workflows — results vary by process design and volume
Higher
Repeat purchase rates can improve with AI-driven email personalization — results vary by audience, industry, and content quality

Scale Your Store Without Scaling Headcount

Let AI handle the operational complexity of modern retail while your team focuses on product, marketing, and growth.

AI for Retail & eCommerce — Frequently Asked Questions

Which eCommerce platforms do you integrate with?

Shopify, Shopify Plus, WooCommerce, Magento (Adobe Commerce), nopCommerce, BigCommerce, and headless setups via Storefront API. Inventory, orders, and customer data stay in sync with your ERP, POS, and 3PL.

How do AI agents reduce support ticket volume?

Our retail support agents resolve order-status, returns, sizing, and product-question tickets automatically — typically deflecting 50-70% of tickets while raising CSAT. Anything they can't resolve routes to a human with full context.

Can AI handle omnichannel — web, SMS, social, and in-store?

Yes. We unify customer conversations across web chat, SMS, Instagram, Facebook, WhatsApp, and email so the same agent has full history regardless of channel. In-store staff get a tablet view of the same conversation thread.

How do you protect against AI hallucinations on product info?

All product, inventory, and policy answers are grounded in your live catalog and knowledge base — the agent retrieves authoritative data before responding rather than relying on the language model's memory.