Retail Image Recognition

Improve On-shelf Availability · Control Planogram Compliance · Decrease Out-of-Stock · Optimize In-store Execution · Automate Workforce · Boost Sales
As featured in
Consumer goods industry loses billions of dollars due to the absence of actual data from stores. We have created an AI system for solving this problem
Field personal uploads into the system the photos of the shelves with the goods from their mobile devices. Inspector Cloud supports a variety of formats and protocols of uploading photos, including popular messengers. Connecting of any employee to Inspector Cloud takes 5 minutes
Image Recognition
Inspector Cloud identifies tens of thousands SKU and price tags on the photos. Our algorithms provide a precise result for 96% of the photos in the real conditions of shooting. The remaining 4% are used for additional training of the neural network, and don't make mistakes next time
Inspector Cloud generates digital models of stores and shows the reporting of retail audits in real time. In case of OOS or planogram incompliance we are notifying a supervisor within 3 minutes.
Advanced image recognition system provides accurate and relevant information about products on the shelves and helps brands and retailers to improve on-shelf availability and increase sales
One photo can tell a lot on in-store execution and merchandizing KPIs
Interested in retail image recognition?
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Suppliers of convenience goods should constantly check a large number of indicators. Each store has its own characteristics, in addition to this accurate data on the presence of the goods on the shelf, the information about competitors are required.
We help to gather crucial KBI off the shelf in a store in a short time. IT provides time-saving and the accuracy higher than manual inventory counting.
Retail сhains
In the stores with high flow of customers there's an acute problem of the planogram incompliance. It is proved that when there's a non-compliance of the real situation of the goods in a planogram, the sales are going down i.
For retail chains we offer a solution, which after receiving a photo of commercial equipment with the goods, generates a report, how to bring it into compliance with planogram. This leads to the increasing of customer's satisfaction and execution of contractual obligations to suppliers of convenience goods.

Want to know more about business cases?
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Inspector Cloud Announces Industry First DIY Retail Image Recognition Win
October 18, 2017. Inspector Cloud today announced that it has been selected by the top Eastern European wall finishing brand to provide retail image recognition service that will support Brand's instore execution in 3,500 outlets. The deployment will enable the Brand with timely and accurate data on merchandizing standards compliance and competitive environment across the retail universe.

This is the world's first large scale retail image recognition deployment in DIY sector.

Inspector Cloud was awarded the contact based on results of the pilot project which proved its ability to provide accurate real-time shelf image recognition for a wide range of products across all different DIY store formats and seamlessly integrated with existing SFA system.

Starta Capital invests in Inspector Cloud
September 1, 2017. Accelerator Starta Accelerator invested $130 000 in the Inspector Cloud. In total, applications from more than 600 companies from 30 countries were processed. In addition, Inspector Cloud will participate in a 3.5-month program in New York. Accelerator will offer mentoring for companies to adapt products to penetrate the US market. Acceleration program starts from the middle of September until the end of December.

Inspector Cloud integrates with retail service robots
August 14, 2017.Inspector Cloud - developer of the Saas platform for auditing based on computer vision and the developer of service robots for retail GBLRobotics announce the beginning of integration.

The joint product will automatically detect and report on on-shelf KPI without human involvement with the help of built-in cameras and computer vision algorithms. The main customers of the integrated product will be retail chains interested in reducing out of shelf and planogram compliance monitoring. Thanks to the built-in OOS monitoring system, the robot will be able to transmit operational information about the representation of goods on the shelf.

Inspector Cloud is a part of PepsiCo Accelerator
July 17, 2017. Inspector Cloud was selected from among 200+ teams to take part in PepsiCo Accelerator this fall. PepsiCo LAB is a corporate accelerator for startups developing innovative food and beverages and innovative IT-solutions for marketing, sales and back-office.

The aim of PepsiCo LAB accelerator is to provide a mutually beneficial partnership between PepsiCo and startups, as well as support entrepreneurs in taking their startups to the next level.

Participants of PepsiCo LAB accelerator can gain access to PepsiCo's ecosystem, experts, distribution channels, and international markets. This opens the door for a broad range of possibilities for food and beverage product testing and technological solutions.

Inspector Cloud is a winner of Go to Retailtech
June 8, 2017. Inspector Cloud is a winner of Go to Retailtech contest yesterday organised and supported by leading retail companies. Inspector Cloud was selected first among more than 100 technological startups for retail.

In the photo Pavel Boyko is being congratulated by jury at the stage of Russian Retail Week after final. As a winner Inspector Cloud is eligible for setting pilots with partners of the contest that are leading retail companies.

Inspector Cloud partners with GfK in Japan
May 29, 2017. Inspector Cloud was selected as one of the innovative startups
to cooperate with GfK office in Tokyo, Japan. The program is designed to bring new ideas and collaborative scenarios to one of the most sophisticated markets.

GfK is Germany's largest market research institute, and the fourth largest market research organisation in the world. It employs more than 13 000 market research experts and has 1,4 bln euro of sales in 2016.

The Untitled ventures invests in Inspector Cloud
January 24, 2017. Today The Untitled ventures announced its investment in image recognition platform for retail - Inspector Cloud.

The Untitled ventures invests in niche projects at the seed stage in the sphere of Cloud technologies at the edge of online and offline activities connected to #RetailPerformance, #MediaPerformance, #MarketplacePerformance, #TelcoPerformance, #SocialPerformance and #BrandPerformance, which have a possibility for a global market expansion.

Inspector Cloud took part in the "Fair of innovations» by Procter & Gamble

September 28, 2016. General Director of Inspector Cloud Aleksandr Berenov took the floor at the "Fair of Innovations", which was held by one of the largest manufacturers of consumer goods - Procter & Gamble. The purpose of the event - acquaintance with innovative solutions and search for potential partners to increase the efficiency for the company.

The topic of the speech of Inspector Cloud - image identification technologies applicable to the FMCG market. The keen interest of participants was caused by the opportunities and variants of usage for the Inspector Cloud system of automatic audit of shelf space.

Skoltech starts cooperation with Inspector Cloud in the field of technical vision for the retail sector.
August 7, 2016. In August, Skoltech and Inspector Cloud started a scientific cooperation in the field of development of image identification system for inventory accounting on the shelves of retail stores.
Victor Lempitskiy, Professor of Skoltech: "Cooperation with Inspector Cloud will allow our group to participate in solving a very interesting problem of computer vision, having a real-world application, and to make our contribution to the development of the company-resident of Skolkovo. Latest scientific developments in computer vision brings optimism on the success of this project.