A campaign launch should not depend on how fast your VM team can review store photos.
SensEye, Wooqer’s AI for visual merchandising, tells staff what to fix without waiting for a manager’s review.
Why do manual reviews slow campaigns down?
Subjective
The same display gets different judgments.
Inconsistent
Standards vary by reviewer.
Time consuming
Each re-upload adds work.
Delayed
Mistakes stay while staff wait.
More stores and frequent resets mean more reviews, leaving less time for the next campaign.
Tell SensEye what to look for
Upload reference photos and write the instructions SensEye should follow. They can vary by campaign, category and store layout:
- Styling
“Check that the outfit includes the approved scarf and accessories.”
- Footwear
“Verify that the new sneakers sit on the top shelf, with prices visible.”
- Jewelry
“Confirm the pendant is centered, with its campaign card beside it.”
- Signage
“Flag any posters from the previous offer.”
- Presentation
“Flag uneven stacks, sideways tags or products hanging over the table.”
- Visibility
“Is the campaign product clearly lit, with no props blocking it?”
Set the score needed to pass and who receives correction tasks.
In this example, the store has dressed the mannequins but missed three details from the brief.
Approved reference
Annotated store photo
What does SensEye tell the store?
- Needs fixing
Burgundy scarf
Missing from the cream outfit. Add the scarf shown in the reference.
- Needs fixing
Ivory inner layer
A black top is visible under the navy suit. Replace it with the approved ivory knit.
- Needs fixing
Current campaign poster
“Summer Sale” is still displayed. Replace it with “Fall Edit.”
- Matches brief
Beige knit outfit
Sweater and skirt match the reference. Keep this styling.
AI reviews every photo, including re-uploads
SensEye scores each photo and explains what needs fixing. A low score triggers a task for the assigned person. Staff correct the display and upload a new photo. AI verifies it again until it passes.
With clear guidelines, routine manual photo reviews can drop to zero.
See SensEye verify a photo against your campaign brief.
See which stores need attention
Reports and scorecards show which stores have set up displays as planned, what still needs fixing and where the same mistakes keep happening. Managers can then focus on problems store teams cannot solve, such as missing stock or campaign materials.
100 stores × 4 photos × 2 resets a month × 12 months = 9,600 photos a year.
Manual review
Managers review all 9,600 photos
160 hours/year
With AI verification
AI verifies every photo.
Routine manual reviews: 0.
0 hours/year
160 hours/year freed
From initial manual photo reviews
Start with a few stores
Try SensEye on one display in a few stores. Have your team review the photos too, even those AI marks as correct. If AI misses something, make the instructions clearer and try again. Add more stores once you trust the results.
Read our VM guide: Visual merchandising: Your campaign is live. Is every display right?
See SensEye work with your photos
Share your campaign guidelines and store photos. See what needs fixing and the feedback staff receive.
Frequently asked questions
What can AI verify in a store display?
SensEye compares visible display details with your reference images and written campaign instructions. These can cover product placement, mannequin styling, accessories and campaign signs.
For example, it can flag a missing scarf or an outdated poster. Clear references help the AI identify the specific changes staff need to make.
Can SensEye remove all manual photo reviews?
With clear guidelines, SensEye can take over 100% of routine photo reviews, including resubmissions. Staff receive feedback and keep correcting the display until it passes, without a manager approving each attempt.
People still set the standards, make physical corrections and handle exceptions. A pilot helps confirm which reviews your team can automate.
What happens when a display does not meet the guidelines?
SensEye gives the photo a score and identifies the gaps. A score below your pass mark triggers a correction task for the assigned person. The pass mark is the minimum score your team sets.
Staff fix the display and upload a new photo for verification. Managers can track open corrections and repeated failures.
Can different store layouts use different references?
Yes. Give each store a reference suited to its space and fixtures. A footwear wall and a front table need different instructions, even when both support the same campaign.
State what each setup must show. SensEye then verifies the submitted photo against the relevant reference and instructions, rather than expecting every store to look identical.
How do we know SensEye is ready for a wider rollout?
Have your VM team review the same store photos as SensEye. Check for mistakes AI missed and correct details it marked as wrong.
Make unclear instructions more specific, then try again. Start with a few stores and add more once your team agrees that the feedback is useful and accurate.