Technology
Neural Networks
Machine Learning
Artificial Intelligence
Artificial Intelligence based on convolutional neural networks has modeled the human visual image processing part of brain (occipital cortex) in its propensity to pick out many points of interest of the object and create a «fingerprint of a target» — and not scan it from top to bottom or from one side to another. We use neural networks because they are useful to recognize visual patterns from pixel images and videos with minimal preprocessing and can recognize patterns with extreme variability and robustness to distortions.
We fully utilize the latest advances in modern GPU computing to cut processing times to a fraction of a second for images — a huge boost over the traditional client-server setup.
Merchandising Management
Supermarket shelves might now be the world’s most expensive property. The more expensive the product representation on a shelf is, the more attention retailer/manufacturer pays to optimize costs for managing shelf space. Unfortunately, nowadays shelf audit is often carried out in manual way, which leads to numerous errors and massive profit losses.
We provide the service of automated SKU recognition and planogram compliance vs. realogram. Technology allows FMCG retailers to control SKU placement on the shelf, reducing manual work to an absolute minimum — sales representative only makes photos of shelves on a mobile device and then sends images to the server. The rest is done by Occicor.
Our service, being fully automated, significantly increases amount of data that can be collected by a sales representative, enhances analysis accuracy and notably reduces the time needed for processing and analyzing the results, allowing to evaluate your store performance at a glimpse.
The system analyzes images of shelves, recognizes SKUs and calculates KPIs, e.g.: On shelf SKU availability, number of facings, shelf-OOS (out-of-stock), compliance with the planogram, shelf share, competitive environment etc. — and generates an analytical report.
As a result, you get a highly qualitative information, speed up data processing, increase profitability and reduce transaction costs.
How it works...
Occicor automatically recognizes SKUs on the shelf, significantly increasing the accuracy and volume of merchandising data and reducing time and financial expenditures to process and analyze these results.
1) Take picture
Sales representative makes a picture/video of the shelf on a smartphone/tablet
2) Upload to cloud
The file is sent the server. SKUs on the shelf are automatically detected and recognized
3) Get results
Occicor creates a report with accurate and detailed information on: SKU presence, competitor’s products and other valuable metrics