Making retail execution smart

Image recognition for the retail shelf

More efficient, more accurate.

We combine computer vision and deep learning technology to detect shelf, promotional displays and SKUs on the shelf to make sure the shelf planogram is compliant. The shelf health calculation includes empty space detection and presence of unknown SKUs on the shelf. The solution is devised to work both for modern and general trade stores.

Our solution helps our customer increase their in-store execution effciency by 40%.

  • Detection accuracy.
  • Faster turn around time.
  • Scaling to millions of images in no time.
  • Varieties of KPIs to choose.

IoT for the retail shelf

Sensors based smart shelf.

Computer vision gives us the front-facing of SKUs in the aisle whereas the sensors based smart shelf gives information about the depth and presence of SKUs behind the front-facing. The IoT sensors are precisely and specifically designed for the densly packed retail shelves.

The lone such mat outstands by its properties.

  • Precision of output.
  • Functonal in chiller/cooler/aisle.
  • Cost effective.
  • Durability.

Our Product

  • xTract
  • xLens
  • xSense

Task management system

Automated task assignment to the field executives and closing of task when shelf reaches good health.

Share of shelf

Share of shelf by size, by facings, by time to give an actual share of SKUs/Sub-category/Sub-brand.

Out of stock

Out of stock percentage of SKUs/Sub-category/Sub-brand.

Availability on shelf

SKU available count on the shelf with an indication of discrepancy in number of SKUs required to maintain compliance.

Planogram compliance

A score that depicts the status of shelf wrt the planogram compliance.

Unknown SKUs detection

Detects any unknown SKU which is not part of the current planogram design.

POSM visibility

Detection of Display/POSMs available in the store and also points out if there are any missing stips.

3D Scanner app

Creating 3D models of real-world objects has always been tough but now using the 3D Scanner app one can scan any real-world object and convert it to 3D model automatically. Place the object in center and start capturing images or recording video by orbiting around the target. Scan the object from different angles and the object will be automatically converted to photo-realistic 3D model.

How to make 3D model

Xplorazzi made the mark at

Request a Pilot

Just one call away from a pilot to see how AI and computer vision can measure and enhance product visibility.

Testimonials

Team

A job worth doing is worth doing together.

Pranabesh Dash

Brand Dynamo

Satyendra Sahani

e-Packager

Sayab Barange

In-House-Picasso

Adithya Shetty

Data NINJA

Ajay Kamblekar

Java chef

Our Clients