AI-powered systems that predict demand, personalize customer marketing, optimize pricing, and turn your data into decisions -- all on autopilot.
These are the challenges we hear every single week from retail businesses just like yours.
Overstock ties up cash and leads to markdowns. Understock means lost sales and frustrated customers. You're always guessing wrong.
Blast emails get 2% open rates. Your customers want personalized recommendations, but segmenting and targeting manually is impossible at scale.
By the time you notice a competitor dropped prices or demand shifted, you've already lost sales. Manual price monitoring across hundreds of SKUs is impossible.
You have years of purchase history, browsing data, and customer profiles, but no way to turn that data into actionable insights or automated campaigns.
We map your industry to a public 2026 AI deployment that ran the same play. Then we install the SMB version through our Agent Packs.
Duvo's AI agents deployed at Rohlik (European grocer) unlocked €2.8M in annualized margin over 3 months — 78% → 93% availability in 2 weeks + 40% ops-capacity freed. Retail at any size wins on the same mechanics.
Read the full case study →Retail: customer support (Review Engine) + post-purchase follow-up (Follow-Up Machine) + weekly retention dashboard (Weekly Report) is the trio that drives LTV without adding headcount. Under $1M revenue, Review Engine alone typically pays back in 60 days.
See every Agent Pack →See the before-and-after for each automation -- and the ROI you can expect.
Ordering based on gut feeling and last year's numbers
AI predicts demand by SKU using trends, seasonality, events, and real-time data
Sending the same email to everyone and hoping for the best
AI segments customers and sends personalized recommendations that drive purchases
Manually checking competitor prices and adjusting spreadsheets
AI monitors competitors and demand in real-time, suggests optimal pricing
Data spread across POS, e-commerce, email, and social -- no unified view
AI unifies all data into actionable insights: CLV, churn risk, purchase predictions
Jessica Park
A 2-location home goods retailer in Portland was carrying $180,000 in excess inventory, seeing 1.8% email open rates on marketing campaigns, and had no visibility into which products to reorder and which to discontinue. Year-over-year growth had stalled at 2%.
We deployed AI demand forecasting integrated with their POS, personalized email marketing with product recommendations, competitive price monitoring for their top 200 SKUs, and a customer intelligence dashboard unifying online and in-store data.
15 hours/week on inventory and marketing tasks
Hours Saved
$18,500/month from better targeting and fewer stockouts
Revenue Increase
$6,200/month (reduced excess inventory and marketing waste)
Cost Reduction
35 days to full deployment
Timeframe
Adjust the sliders to see how much AI could save your retail business in year one.
Total First-Year Value
That's like hiring a full-time employee for 1/10th the cost
Time Saved
14h/week
$91,000/yr
Marketing Saved
30%
$10,800/yr
We get these questions every week. Here are straight answers.
The 24/7 agent that answers every call in your voice — our highest-ROI first deployment.
Flat monthly tiers, no per-call fees.
Fixed-scope AI builds shipped in days, not months.
The sourced phone-leakage data, broken down by vertical.
Scope your build in a 15-minute call.
Book a free 20-minute strategy call. We'll show you exactly which AI automations will have the biggest impact on your retail business.