Hundreds of stores, one at a time
Regional managers can't read every store's feedback, so problems surface weeks late — usually in the monthly report.
Store visits, online orders, deliveries, returns and marketplace reviews — coded by one AI engine built for retail, ranked by impact and turned into tasks for the store or team that can fix them.
Regional managers can't read every store's feedback, so problems surface weeks late — usually in the monthly report.
Web, app and store scores live in different tools, so nobody sees the shopper who orders online and picks up in store.
Google, marketplace and product reviews pile up unanswered, and you only learn a rival's product wins when sales show it.
Each touchpoint feeds the same platform, on the channel that fits the moment.
Every stop is scored on the same scale and tagged with the same topics — by store, region and channel.
Topic models built for your industry, no training period. From the first comment, Cloud4Feed knows the difference between a fitting-room queue and a checkout queue — in 50+ languages.
How every comment is coded“Came to collect my order and it wasn't ready — waited 20 minutes. The staff were lovely and sorted it, but I've had this twice now.”
After every purchase and delivery
Short surveys after the till, the order and the pickup, on SMS, email, WhatsApp or by AI voice call.
Every store's Google reviews
One inbox and one Reputation Score per store, with AI replies in your brand voice.
Every SKU on every marketplace
Product reviews read attribute by attribute and compared with rival products.
One language for every channel
Surveys, reviews, chats and calls coded into the same retail topics, sentiment and personas.
Every service call scored
Keep your phone system; every call is transcribed and linked to the shopper's other feedback.
Ask why, in plain words
“Why did NPS drop in our North West stores last month?” — answered with sources.
Fix first what's worth most
Priority Matrix, Impact Simulator and value × risk show which issue moves NPS and revenue.
The store manager knows today
Alerts and tasks go straight to the store or regional manager who can fix it.
Win back the shoppers who went quiet
Personalised AI voice calls and WhatsApp conversations with coupons and new arrivals — most valuable customers first.
A fictional fashion retailer with 9 stores in the region, a website and an app.
North West NPS fell from +41 → +32.
Spotted in the regional view, while every other region held steady.
46% of the drop: Click & Collect orders not ready at pickup.
In 3 of 9 stores, after a new warehouse routing went live on 8 Sep. Weekend fitting-room queues 27% · online refund delays 15%.
Fixing Click & Collect is worth an estimated +3.4 NPS.
Ranked first in the Priority Matrix.
1,860 high-value customers at rising churn risk.
£412K predicted 12-month value at stake.
A task to the regional manager, a win-back for the 1,860.
Click & Collect readiness fixed in 3 stores; lapsed high-value shoppers reached first.
CityFresh Market turns weekend checkout-queue reviews into a fix, store by store.
See the storyCityHome learns why the Glide 5 loses to a rival on pet hair — from 18,420 reviews.
See the storyCityGlow wins back lapsed fragrance shoppers with AI voice calls and WhatsApp.
See the storyby store, region and format
by web, app and delivery option
per store and versus rivals
by SKU and attribute
traced to campaign and channel
Your store teams, too. H&M, Marks & Spencer and Tesco use Cloud4Feed to hear their employees.
Your store teams, tooWhat should we fix first — and what is it worth?
FOR MARKETING TEAMSHow is our brand perceived — and versus competitors?
FOR PRODUCT TEAMSHow does each product stack up against rivals?
SOLUTION AREATrack every touchpoint, cut churn drivers and close the loop with each detractor.