For Decimas
The operational AI agent
for Decimas.
STOREE gives every regional and store manager an AI partner that continuously finds lost sales across your sportswear and sports fashion network, verifies in-store execution, communicates with teams, and follows every issue until it is resolved.
See STOREE in action
Watch how sportswear and sports fashion chains use STOREE to recover lost sales in every store
You already have the data.
You don't have enough hours.
A normal BI system can tell you "this sneaker is underperforming in Store 127." But someone still needs to investigate the reason, contact the store, verify the display, create an action, and follow up. That work depends on the time and capacity of your managers. The bigger your store network becomes, the harder it is to do for every store, every day. With hundreds of locations and tens of thousands of SKUs across Nike, adidas, Puma, Asics and your own Decimas label, that gap is not a staffing problem. It is a mathematical one.
Tens of thousands of SKUs
Sneakers, apparel and accessories across men's, women's and kids'. Brands, sizes, colors, seasonal collections. A product can sit in inventory but fail because it is not displayed, is in the wrong location, or employees do not know it exists.
Not enough management hours
Regional managers cannot physically investigate every underperforming product, contact every store, review every display photo, and follow up on every action across hundreds of locations.
Sales die in silence
A sneaker has inventory and proven demand in comparable stores, but sells almost nothing in twelve locations. Nobody notices until the season ends and the opportunity is lost.
Do not ask which modules you could use.
Ask what work the agent does every day.
STOREE is not a dashboard you check. It is a partner that works with you, thinks with you, and feels what matters to you. You control it from your phone, your laptop, or your WhatsApp. You tell it what matters: it reviews every store, works with your teams, and brings you the result.
Control your agent from WhatsApp
Ask in the morning. Get results by tonight. The agent works during the day: contacting stores, requesting photos, creating tasks, and following up. Then it reports to you on your terms.
- Works with you, not instead of you
- Thinks with you: learns what matters to your chain
- Feels what is important to you: prioritizes like a partner, not a script
- Connects through WhatsApp, your laptop, or your phone
Demo dataWhat the agent does every day
Data detects the opportunity. The image helps explain it. The agent manages the response.
1. Find and recover lost product sales
The agent continuously identifies products that have proven demand in comparable stores, are available in inventory, but underperform locally. It investigates the cause with the store and creates the appropriate action.
- Compares product performance across comparable stores
- Flags products with inventory but weak local sales
- Contacts the store manager and requests a display photo
- Creates a correction task and monitors the sales result
Demo data2. Supervise visual and campaign execution
When you launch a new collection or promotion, the agent sends the right instructions, trains the teams, requests execution photos, reviews each photo, detects missing or incorrect elements, sends corrections, follows up, and measures the sales result.
- Sends campaign instructions to each store
- Reviews each execution photo against the required display
- Detects missing products, wrong placement, or pricing errors
- Follows up until the display is corrected and reports completion
Demo data3. Give every regional manager a daily control layer
The agent reviews every store every morning and tells the manager where attention is needed, what has already been investigated, what actions are in progress, and what requires human intervention. It does not replace physical visits. It ensures management does not disappear between visits.
- Daily review of sales changes, product opportunities, and inventory gaps
- Campaign execution status and overdue actions in each store
- What the agent already investigated and what still needs a human
- Exceptions that require the manager's judgment, highlighted up front
Demo dataEvery issue stays open until something happens
Retail systems normally detect, notify, or assign. But the work dies because nobody follows up. STOREE follows every issue until it is resolved.
Ask
The agent contacts the store and asks for an explanation or a photo.
Remind
If there is no response, the agent follows up automatically.
Act
Creates the next step: a correction task, a restock, or a training prompt.
Verify
Checks the result and reports the outcome to management.
"Data detects the opportunity. The image helps explain it. The agent manages the response."
Every store receives management attention every day
The agent does not replace physical visits. It ensures management does not disappear between visits.
Every morning, the agent reviews each store for:
Not another generic report
A store manager receives specific, actionable guidance, not a dashboard they have to interpret.
You have 9 units of the adidas Runfalcon in stock. It is one of the strongest sellers in comparable stores, but your store sold only one this week. Please verify its position on the display, send a photo, and discuss it with your team before today's shift. I will check the sales again next Monday.
Investigated
The agent compared this store with comparable locations and found a gap.
Communicated
Contacted the store manager with a specific product, a specific number, and a specific request.
Following up
Will check the sales again next week and escalate if nothing changed.
The AI that audits your displays.
So you do not have to.
Storeye is STOREE's visual merchandising AI engine. It compares every photo submitted from the floor against your planogram and gives you a compliance score, automatically, in seconds.
Demo dataWhat the agent detects: that humans overlook
Wrong product placement
A sneaker outside its planogram zone: detected in the photo, flagged immediately.
Missing or wrong price labels
The agent reads price labels and compares them with your approved price on each SKU.
Empty shelves
Empty shelf space detected automatically. A restock task is created before the next customer walks by.
Collection display compliance
Is the seasonal campaign end-cap set up exactly as HQ planned it? The agent scores it and records the result.
Size and run availability
Core sizes missing on the floor while sitting in the back room: detected and corrected the same day.
Facing count violations
Wrong number of product facings? The agent counts them and flags any deviation from the planogram.
Fit, size, and seasonal drops are the hardest jobs on the floor
An employee in a sportswear store needs to understand size, fit, collection, and availability across men's, women's, and kids'. They must know which sneaker a customer is looking for, which sizes are in stock, which outfits work together, and where each item sits in a dense, fast-changing display.
Management agent
Helps HQ, regional managers, and store managers operate the network. Finds lost sales, supervises execution, and follows up on every issue.
This leads the pitch.
Sales & knowledge agent
Helps employees give faster, more accurate advice to customers. An employee can ask the agent which sneaker fits a customer's need, which sizes are in stock, and which apparel or accessories to offer together.
This makes the pitch feel unique to your vertical.
An employee can ask the agent:
Every collection launch receives continuous AI supervision
The manager tells the agent what success looks like. The agent handles the rest.
Send instructions
The agent sends the right campaign instructions to each store.
Train teams
Trains teams on the new collection and product fit.
Request photos
Asks for execution photos from each store and reviews each one.
Detect errors
Detects missing or incorrect elements and sends corrections.
Follow up
Follows up with stores that did not complete the correction.
Report completion
Reports completion and shows HQ only the exceptions that need human judgment.
Measure result
Measures the sales result of the campaign per store.
Close the loop
Identifies which stores executed well and which did not, for next time.
The full platform: the agent's toolkit
The modules are not the product story. They are the eyes, the memory, and the ability to act of the agent. This is what the agent uses to do its job.
Visual compliance (Storeye)
AI photo analysis against your planogram. The agent uses it to verify execution and create corrections.
Product performance & sales intelligence
Connected to your POS. The agent uses it to find products with proven demand but weak local sales.
Task management
Every retail task is a template. The agent uses it to create actions, assign them, and follow up automatically.
Communication
Mapped to your org chart. The agent uses it to contact stores, send reminders, and force acknowledgment when it matters.
What sportswear chains see in their first quarter
Real numbers from real chains, not projections.
94%
Average task completion rate in the first quarter
7→1
Tools replaced by STOREE
14 days
From signed contract to first active store
-40%
Reduction in manual follow-up time and reporting
Why STOREE for Decimas
What would you ask your AI agent to do tomorrow morning?
Tell STOREE what matters. It reviews every store, works with your teams, and brings you the result.
Book a callNot a demo. A discovery call.