AI consulting for retail & e-commerce
Stop paying flagship prices for "where’s my order?"
Retail runs the highest-volume, most repetitive AI workloads there are: support tickets, product copy, returns. Run them on an over-priced model and the "savings" eat your margin. We right-size every workflow to the cheapest model that clears the quality bar, and prove the per-ticket math.
Volume turns pennies into payroll.
At ten tickets a day, model choice is trivia. At a thousand, the difference between the flagship and the right-sized model is a real line on your P&L. The market reprices monthly; your stack should ride every price drop.
Peak season breaks fragile setups.
Costs that scale with usage are exactly what spikes in Q4. We design for your peak with capacity headroom, cost caps, and fallbacks, so the holidays stress your warehouse, not your software budget.
Your brand voice isn’t optional.
Generic AI copy reads generic. We tune tools on your actual catalog, tone, and policies, and we keep a human on anything a customer will screenshot.
Where AI pays for itself in retail
Support triage & drafting
Routine tickets (order status, returns, sizing) resolved or drafted automatically; edge cases route to your team.
Product descriptions at scale
On-voice copy for the whole catalog, in your template, reviewed in batches.
Review summarization
What customers actually complain about, by SKU, monthly.
Returns & RMA handling
Policy-checked drafts and next steps, escalating anything unusual.
Email & campaign drafts
First passes in your voice; marketing edits and ships.
Ops notes
Demand summaries and vendor-email drafts from your numbers.
Customer-facing automation is disclosed and supervised. Bots identify as bots, escalation to a human is always one step away, and nothing policy-sensitive (refund exceptions, complaints, anything legal) ships without review.
“The per-ticket math, in writing.”
- A cost baseline per workflow: what a ticket, a product page, a return actually costs today
- Model benchmarking on your real tasks, commercial and open-weight, with quality scored before price
- Monthly cost tracking, with down-shifts whenever a cheaper model holds quality
- Peak-season capacity and cost-cap planning
- Disclosure and escalation design for anything customer-facing
The Payback Audit (1–2 weeks) → first workflow live in under 2 weeks → full rollout with role-based training → 3 months of support, or ongoing advisory.
Scoped right. Built right. Priced right.
See exactly what you get for $2,500: the Payback Audit sample report, with the deliverable’s full structure and illustrative figures.
References available on request.
“Will customers know they’re talking to AI?”
Yes, by design. Disclosure builds trust and is increasingly expected by regulators. What customers care about is speed and accuracy. A fast, correct, clearly-labeled bot beats a slow human queue, and a human is always one click away.
“What does this actually cost per ticket?”
That’s the wrong order. First we measure what a ticket costs you now (agent time, response delay, churn risk), then we quote the AI cost per ticket beside it. The audit produces both numbers. If the math doesn’t clearly work, we’ll say so.
“Can it write in our brand voice?”
Yes. We tune on your existing copy, your tone rules, and your banned-words list, then review in batches until the edit rate drops to near zero. You approve the voice before anything ships at scale.
“What happens on Black Friday?”
We plan for your peak, not your average: capacity headroom, cost caps so a traffic spike can’t blow the budget, and fallbacks if a provider throttles. Peak season is exactly when the right-sized stack earns its keep.
Find the margin hiding in your ticket queue.
The Payback Audit prices your top workflows: current cost vs. right-sized AI cost, side by side.