AI Automation That Recovers Revenue at Every Stage of the Commerce Lifecycle.
Abandoned carts, missed reorders, unresolved tickets, and manual inventory ops are the four revenue leaks draining every e-commerce brand. We close them all with intelligent automation that runs 24/7 across your full stack.
22+ e-commerce brands automated with this Platform
Where E-commerce Brands Leak Revenue Every Single Day.
The margin in retail is already thin. Every abandoned cart that isn't recovered, every support ticket that takes 4 hours to answer, every reorder that requires manual intervention — these aren't edge cases. They're the daily operational bleed that compounds into millions of dollars at scale.
The average e-commerce store recovers less than 5% of abandoned carts. The tools exist to recover 25–30% — but they require personalised, timed sequences that most teams can't build or maintain manually.
WISMO ('Where is my order?') tickets, return requests, and sizing questions flood inboxes during peak — and 80% of them could be answered automatically with the right integration.
Stockouts are discovered after a customer tries to buy. Reorders are triggered manually, late, and without demand signal data — resulting in lost sales or overstock that erodes margin.
The order confirmation and shipping notification are sent. After that: silence. The window for review requests, loyalty triggers, and repeat purchase incentives closes without being used.
For brands with subscription products, churn signals — payment failures, reduced order frequency, support tickets — go undetected until the cancellation event. By then it's too late to intervene.
Weekly sales reports, channel performance breakdowns, and cohort analysis pull from Shopify, Google Analytics, and ad platforms — assembled manually every Monday morning.
The benchmark: The average e-commerce brand at $5M+ revenue loses 12–18% of addressable revenue to operational gaps: unrecovered carts, uninitiated loyalty sequences, and delayed support responses that result in refund requests rather than resolutions.
The Full Commerce Automation Stack,
Deployed and Managed.
Six automation layers that recover revenue, reduce ops overhead, and build the repeat purchase flywheel — running 24/7 without a single manual trigger.
Cart & Browse Abandonment Recovery
Multi-step recovery sequences triggered within 15 minutes of abandonment — personalised with the exact products viewed, dynamic discount logic, and inventory urgency signals. Recovers 25–30% of abandoned carts on average.
Post-Purchase Lifecycle Automation
Delivery confirmation triggers the full post-purchase flow: review request (timed to delivery + 3 days), personalised cross-sell sequence, loyalty point notification, and reorder reminder at predicted repurchase interval.
AI Customer Support Triage
WISMO queries resolved instantly via order status API. Return requests classified and routed — with prepaid label generation for eligible returns. Complex tickets escalated with full context. 80%+ auto-resolution rate.
Inventory & Reorder Automation
Real-time inventory monitoring with demand-signal-weighted reorder triggers. Low stock alerts sent to buyers, supplier POs auto-drafted, and product pages updated with urgency messaging when stock threshold is crossed.
Subscription Retention Flows
Payment failure triggers a smart recovery sequence: retry logic, alternative payment method prompt, and personalised outreach before cancellation. Churn risk scored from order frequency and engagement data.
Commerce Analytics & Reporting
Daily revenue summary, channel attribution breakdown, cohort LTV analysis, and inventory turnover report — pulled from Shopify, Google Analytics, and ad platforms, synthesised by AI, delivered to Slack or Notion.
How the Automation Stack Connects End-to-End
Every layer communicates in real time. A single product event can simultaneously update your CRM, score risk, trigger a personalised email, and notify the right rep — all within two seconds.
What E-commerce Brands Measure After 90 Days.
Metrics from active deployments across 22 e-commerce clients. Post-launch window: 90 days.
Built for Consumer Data Compliance.
E-commerce brands handle payment data, personal information, and browsing behaviour at scale. Every automation we build is architected for GDPR, CCPA, and PCI-DSS compliance — without slowing down your ops.
Sensitive fields (emails, phone numbers, payment data) are masked in logs and never passed to third-party AI providers unless explicitly required and separately consented.
Architecture diagrams, data flow maps, encryption specs, and access control policies — everything enterprise security teams need to complete vendor reviews.
Customer data never leaves your chosen cloud region. No cross-region transfer without explicit configuration.
Ready to recover the revenue you're leaving behind?
In 45 minutes we'll walk through your cart recovery rate, support ticket volume, and post-purchase flow — and show you exactly where automated systems would close the gap.
- Commerce-specific audit framework
- Cart & retention opportunity map
- Stack compatibility check included
- No commitment · Response in 24h
E-commerce & Retail
Questions Answered.
Real questions from E-commerce & Retail teams before they engaged with us — answered plainly.
Ask a QuestionBook a free 45-minute call — we'll answer everything and audit your specific stack.
Let's Build Your
AI Automation Engine
Book a free 45-minute strategy call. We'll map your top automation opportunities, estimate ROI, and show you exactly how we'd build it.
No commitment required · Response within 24 hours · Free audit included