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AI systems that let you sell on autopilot.

Custom AI for DTC operators and retail brands — support automation, refund save flows, returns intelligence, and lifecycle retention. Built on your existing stack. Full code ownership.

$200K/morecovered revenue at scale
87%support cost reduction
40K+tickets handled monthly by AI
38%refund-save rate (vs 5% baseline)

The problem

Where your revenue is leaking right now

Three operational areas where DTC brands lose money every day — and what AI does instead.

Support Operations

Before

Avg response time

8–14 hours

After AI

AI-handled response

< 90 seconds

87% cost reduction
Refund & Returns

Before

Refund save rate

< 5%

After AI

Multi-layer save flow

38% saved

$200K/mo recovered
Inventory & Demand

Before

Stockout detection

2–3 weeks late

After AI

Predictive signal

14 days ahead

$2.3M stockouts eliminated

The friction

Where DTC brands bleed margin every day

2–4×

Ticket volume spikes you can't hire through

Q4 ticket volume doubles to quadruples. Response times crater, CSAT follows. Hiring lags by months and costs don't drop in Q1. The only durable fix is automation.

< 5%

Refunds processed with no save attempt

95% of refund requests are approved without a single save attempt. Every one of those is revenue you could have kept with the right automated flow at the right moment.

2–3 wks

Defective SKUs shipping long after signals appear

Return data lags 2–3 weeks before patterns become visible. By then, hundreds of the same defective units have shipped. The signal was always there — it just wasn't being read.

25–40%

WISMO tickets you're paying humans to answer

Where is my order? It's 25–40% of all inbound support volume. Every single one is automatable with carrier data and a proactive notification triggered before the customer asks.

$2.3M

Stockouts discovered too late to prevent

By the time a stockout is visible in your dashboard, the lost revenue is already booked. Demand signals exist weeks before the shelf empties — they're just not being automated.

Identical

High-LTV and new customers getting the same message

Your top 20% of customers by LTV receive the same post-purchase cadence as first-time buyers. The segmentation data exists. It's just not connected to your comms platform.

What we deploy

Six systems. One store that runs on AI.

Each system is production-deployed, not a demo. Built on your existing stack. Full source code ownership.

AI Support Agent

Resolves email, chat, and social tickets autonomously — WISMO, refund requests, exchanges, order edits — across Gorgias and Zendesk without human escalation.

Gorgias / ZendeskWISMO automationMulti-channel
87% tickets resolved without human

What it handles

  • Order status and tracking lookups
  • Refund and exchange processing
  • Policy-aware responses per brand voice
  • Escalation routing for edge cases

AI Support Agent

Resolves email, chat, and social tickets autonomously — WISMO, refund requests, exchanges, order edits — across Gorgias and Zendesk without human escalation.

87% tickets resolved without human

Refund Save & Revenue Recovery

Multi-layer save sequences triggered at the moment of refund request — exchange offers, store credit, partial refunds — before any money leaves. Saves 38% of revenue-at-risk.

$200K/mo recovered at scale

Returns Reason-Loop Engine

Clusters return reasons by SKU to surface defective product patterns weeks before they become a P&L problem. Signals fed directly to merchandising and product teams.

Defects caught 3 weeks earlier

Post-Purchase Comms Engine

Real carrier signal-driven pre-ship, delay, and delivery notifications that eliminate WISMO tickets before they're created. 25–40% of your ticket volume, gone.

WISMO tickets down 60%

Signal-Driven Lifecycle Retention

Replenishment timing, win-back flows, and VIP escalation based on each customer's actual purchase behavior — not a shared email calendar. High-LTV customers get different treatment.

3.2× repeat purchase rate

Cross-System Operator Console

Natural language queries over your ERP, 3PL, ESP, and support platform. Your ops team asks plain-English questions; the system queries all systems and responds instantly.

Day-long data pulls → seconds
Case study

Multi-brand DTC operator recovers $200K/month and cuts support cost 87%

$200K/mo

recovered revenue

87%

support cost reduction

40K+

tickets/month handled

< 90 sec

response time

The problem

A multi-brand DTC operator with 40,000+ monthly support tickets was drowning in WISMO volume, processing refunds without save attempts, and missing return defect signals by weeks.

What we built

  • AI support agent handling WISMO, exchanges, and refunds across Gorgias
  • Multi-layer refund save sequences with tiered offer logic by customer LTV
  • Returns reason-loop clustering feeding defect signals to merchandising in real time
  • Post-purchase carrier event notifications eliminating pre-emptive WISMO tickets

“We haven't hired a single additional support rep in 14 months. The AI handles everything except the edge cases.”

— Operations Lead, Multi-Brand DTC Group

Integrations

Connects to your existing stack

We build on top of what you already run. Nothing gets replaced.

Commerce & Inventory

ShopifyBigCommerceMagentoWooCommerceCin7NetSuite

Support & Comms

GorgiasZendeskRe:amazeKlaviyoPostscriptAttentive

Logistics & 3PL

ShipBobShipStationEasyPostFlexportLoop Returns

Data & Workflow

StripeRechargen8nAirtableSlack

FAQ

Questions from DTC operators

Ready to start

Book a 30-minute discovery call.
We'll map where your revenue is leaking.

No pitch deck. We'll audit your support ops, refund flow, and retention stack — identify the exact automations worth building — and give you a scope with ROI projections before you commit to anything.

Book discovery call

Typical first response within 4 business hours.