AI & Data Analytics for E-Commerce & Retail
AI that ships.
The demand forecasts, recommendation engines, and ops automations big retail runs on, shipped into stores doing $1M–$20M in 4–12 weeks. No decks. No pilots.
Free assessment. No commitment. Honest about fit.
Demand Forecasting, Recommendation Engines, Reconciliation Automation, GenAI Support Agents, Dynamic Pricing, Returns Prediction, Data Pipelines, Inventory Sync
Proof in numbers
- Sellers on HappySellers
- 250+
- Years in retail AI
- 15+
- To first production result
- 4 wks
- Revenue sweet spot
- $1M–$20M
Sellers on HappySellers
our live AI lab, real GMV
Years in retail AI
inside Kohl's and Sears
To first production result
or the milestone is free
Revenue sweet spot
the brands we serve best
Founder's background & community
Kohl's
Founder shipped here
Sears
Founder shipped here
WORLDEF
Exhibited here
HappySellers
We built this
Live from production
What an engagement looks like when it ships
No slide decks at the end — a system in production, measured against the numbers we agreed on in week one. These are representative milestones from typical engagements.
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First working result in 4 weeks — or the milestone is free.
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Measured on business metrics — stockouts, AOV, hours saved — not model accuracy.
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You own the code, the models, and the data pipelines when we're done.
Representative milestones from a typical engagement.
What we ship
Four AI systems, merchandised like your catalog
Every system below is in production somewhere right now. Browse like you'd browse your own store: outcomes up front, shipping times honest.
Demand Forecasting
Know what sells, when, by SKU and channel. Buy the right stock and stop guessing reorder points.
Recommendation Engines
The architecture our founder built for 20 million Kohl's shoppers, sized for your catalog and margins.
Reconciliation Automation
Payments, fees, refunds and returns matched overnight. Exceptions go to a human, the rest just runs.
Inventory Prediction
Reorder points, safety stock, and warehouse rebalancing computed from your real sell-through, not gut feel.
The process
From first call to live AI, week by week
No discovery phases that never end. Every step below has a date and a deliverable.
The fit call
30 minutes. We tell you honestly whether AI is worth it for your store right now, and which use case pays back first. If it's not a fit, we say so on the call.
AI Fit Sprint
We map your data, score the highest-ROI use cases, and hand you a prioritised implementation roadmap with owners and dates. Not a deck. A plan.
First milestone ships
Working AI in your production stack. A forecast feeding your purchase orders, a reconciliation run posting to your books. If it doesn't ship, you don't pay for it.
Scale milestones
We ship the next use cases sprint by sprint. Every milestone has a defined deliverable and a metric it has to move. Ship-or-don't-bill, every time.
Embedded retainer
We stay in. Monitoring, retraining, expanding to new use cases. A senior AI engineer on call, without the full-time hire.
The transformation
Move your cursor. Watch your ops transform.
The left of your screen is every Monday morning right now. Under the lens is the same store, 12 weeks after we start.
Before · manual ops
~22 hrs/week of spreadsheet archaeology
After · AI in production
Forecast placed next month's PO automatically
1,240 orders matched overnight · 3 exceptions flagged
Ticket #8812 resolved in 41 seconds, no human needed
Stock rebalanced across 3 warehouses before the weekend
Returns risk scored at checkout · high-risk flagged
ops on autopilot · exceptions only
Why us
Why TwoDots
Four structural reasons the work actually ships.
Retail DNA
15+ years inside Kohl's and Sears building the AI you're trying to buy. We speak operator, not slides.
HappySellers Live Lab
250+ online sellers on our own platform. Every technique we recommend has been tested on real GMV first.
Ship-or-don't-bill
Each milestone has a defined deliverable. If it doesn't ship, you don't pay for it. No ambiguity.
AI-native delivery
We don't place consultants. We ship production AI: owned, documented, observable. Every engagement ends with working software in your stack, not a strategy deck.
The difference
Why teams pick TwoDots over a consultancy
AI consulting is crowded. AI implementation isn't. Here is what that difference looks like in practice.
A typical AI consultancy
Working with TwoDots
A 60-page strategy deck
Working software in your production stack
Recommendations lifted from research reports
Techniques tested on 250+ live sellers first
Billable hours, open-ended scope
Ship-or-don't-bill milestones
Junior analysts behind a senior partner
A founder who shipped AI at Kohl's and Sears
Quarters before anything goes live
First production result in 4 weeks
A note from the founder
A note from the founder
I spent 15 years building the AI big retail runs on. Recommendation engines at Kohl's. Holiday war rooms at Sears. Systems that decided what 20 million shoppers saw on the busiest shopping days of the year.
Here's what those years taught me: the technology was never the hard part. Getting it into production was. Big retailers solved that with eight-figure budgets and armies of engineers. You shouldn't need either.
TwoDots takes the playbook big retail already paid for and ships it into stores doing $1M–$20M, in weeks, at prices that read like SaaS. If a milestone doesn't ship, you don't pay for it. That's the whole pitch.
Common questions
Before you book a call
How long does it take to implement AI for my Shopify store?
Most implementations deliver a first production result in 4 weeks. A full demand forecasting or recommendation engine build runs 8–12 weeks end to end. We structure work in milestones so you see progress every sprint.
What does AI implementation for e-commerce actually cost?
An AI Fit Sprint starts at $5K and delivers a prioritised roadmap. Implementation retainers run $8K–$20K per month depending on scope. We publish ranges openly. Book a 30-minute call for a specific number against your use case.
Do I need a data team to work with TwoDots?
No. We work with the data you already have: Shopify exports, Klaviyo events, warehouse CSVs. We build the data pipeline as part of the engagement.
What makes TwoDots different from an AI agency?
We don't produce deliverables. We ship working software into your production stack. Our founder built recommendation engines at Kohl's. We run HappySellers, a live platform with 250+ sellers, so every technique is tested on real GMV before we recommend it.
Is TwoDots right for my size of business?
Our sweet spot is online sellers doing $1M to $20M in annual revenue: large enough to have real data, small enough that enterprise AI vendors won't return your call. If you're outside that range, book a call and we'll tell you honestly.
Your move
Let's ship.
Book a free AI fit call. We'll tell you exactly which AI use case is worth pursuing first, and whether TwoDots is the right partner for it.
Free assessment. No commitment. Honest about fit.