Industry
AI for ecommerce brands.
Ecommerce is a volume game. Thousands of small interactions where consistency and speed compound into margin. AI is the first tool that scales both at once, from support to lifecycle to catalog content.
Where the money is leaking
Three places ecommerce businesses lose money every week.
Support drag on margin
Tier-one tickets are 60 to 80% of ticket volume and 100% of the cost when a human touches every one. On a brand doing $10M, that is often $200K to $400K a year spent answering the same eight questions.
Thin PDP and category copy
Most catalogs have generic descriptions, missing alt text, and stale category copy. That directly caps organic traffic and the conversion rate on every product page.
Lifecycle on autopilot
Klaviyo flows built two years ago still run unchanged. Segments are stale, copy is generic, and the highest-value cohorts get the same email as everyone else.
Highest-payback workflows
What AI does inside a ecommerce business.
- 01
Tier-one support agent
The problem: Where is my order, can I return this, does this fit. Same eight questions every day, answered by a human at $18 an hour with a 4-hour first-response time.
What we build: A support agent grounded in your help center, your order data, and your returns policy, deployed on Gorgias, Zendesk, or Kustomer. Resolves in your brand voice or escalates with the ticket already summarized.
Typical payback: Deflection of 40 to 60% of tier-one volume in the first month. First-response time drops to under a minute.
- 02
PDP and category content engine
The problem: A thousand SKUs, half with the manufacturer's default description, no alt text, and category pages that were written when the brand launched.
What we build: An engine that generates product descriptions, alt text, structured attributes, and category copy on-brand, plugged into Shopify, Klaviyo product feeds, and your PIM. Refreshes as products change.
Typical payback: Organic traffic to product and category pages up meaningfully in one to two quarters. On-page conversion rate lift typically 3 to 8%.
- 03
Lifecycle email and SMS that adapts
The problem: Klaviyo flows written in 2023 still fire the same email to a first-time buyer and a VIP. Segments are static, copy never updates.
What we build: Segments that recompute weekly, copy variants generated and tested continuously, offers matched to cohort behavior. Owned inside Klaviyo, Attentive, or Postscript.
Typical payback: Email and SMS revenue per recipient up 15 to 30% within two full send cycles.
- 04
Returns triage and resolution
The problem: Every return goes through a human, most returns are the same three reasons, and warehouse instructions get copy-pasted from a Google Doc.
What we build: AI triage that classifies the return, generates the warehouse instruction, drafts the customer message, and only escalates edge cases. Integrated with Loop, Aftership, or ReturnGO.
Typical payback: Cost per return down 30 to 50%. Refund cycle time cut in half.
- 05
Content and creative at scale
The problem: Ads, blog, and social all rely on a small team or a contractor. Output caps at whatever they can produce in a week.
What we build: A content engine that turns product launches, reviews, and campaign briefs into first-draft blog posts, ad copy variants, and short-form video scripts on-brand. Reviewed by your team, not written by them.
Typical payback: Content throughput 3 to 5×. Direct impact on paid-ad creative cost and organic reach.
Why now
The window matters more in ecommerce than most people realize.
AI-native DTC brands are launching with three-person teams and support, merchandising, and lifecycle already handled by agents. They are undercutting incumbent brands on operating cost while matching the customer experience. Ecommerce is now the industry where AI shows up on the P&L fastest, both because the tooling is mature and because the workflows are highly repeatable. The audit tells you which two of the five above pay back inside the first quarter for your specific catalog and stack.
How we work with ecommerce businesses
Three steps, no long consulting engagement.
01
AI Profitability Audit
Discovery call, written audit against your actual Shopify data and support volume, Zoom review with an engineer. About a week end to end.
02
First workflow live in 3 to 5 weeks
Usually support or lifecycle, because both pay back inside the first month. Built on the tools you already run: Shopify, Klaviyo, Gorgias, your PIM.
03
Scale across the catalog and channels
Add PDP content, returns automation, or creative production once the first workflow is proven. Every workflow is scoped and paid for separately.
Common questions
What ecommerce owners ask before booking.
- Will the support agent sound like our brand?
- Yes. We tune the agent on your existing help-center content, your best support conversations, and your brand voice guide. It reads and replies the way your best CSR would. Every escalation includes the full ticket summary so a human can pick up mid-conversation without losing context.
- Won't AI-generated PDP copy hurt SEO?
- The opposite, when done right. Google penalizes low-quality thin content, not AI-assisted content. We generate copy that is structured, unique per SKU, grounded in real product attributes, and reviewed on a sample before publishing. Brands see organic traffic gains, not drops.
- Do we need to leave Shopify or Klaviyo?
- No. Every workflow is built on top of the stack you already pay for: Shopify, Klaviyo, Gorgias, Loop, Attentive, Postscript, Aftership. If you use a headless setup, we plug in the same way. Nothing about this requires a re-platform.
- How is this different from Shopify Magic or Klaviyo AI?
- Native AI features are useful for one-off generation. What we build is workflow-level: not one PDP at a time, but the whole catalog on refresh; not a single email suggestion, but the segment logic and the offer variants running continuously. Bigger surface area, bigger payback.
Book your ecommerce AI Profitability Audit.
An assessment call, a written audit tailored to your ecommerce business, and a Zoom session with one of our AI revenue engineers. $97, one time. Refunded in full if we can't find $97 of savings, efficiency, or new revenue inside your business.