IMAGE RECOGNITION TECHNOLOGY IN RETAIL AND CPG

IMAGE RECOGNITION TECHNOLOGY IN RETAIL AND CPG

Image recognition technique nowadays is contributing heavily to the growth and management of retail

stores and CPGs.This blog will provide you all the information you need to know about image

recognition in retail and CPGs.

WHAT IS IMAGE RECOGNITION? Image recognition technology is used to process, analyze, and understand an image. Image

recognition uses live video and artificial intelligence to analyze the data. Image Recognition

technologies have an important role to play in tracking information from the store shelves and

converting them into useful data.

USES OF IMAGE RECOGNITION

There is a huge demand for the Image Recognition technique in the retail industry. Image recognition

technology can be used in differentiating the product of different segments. It also detects stockouts

and provides useful information regarding product placement and availability.

WHY IMAGE RECOGNITION?

When you walk into a retail store, very often you find that a particular product is out-of-stock or a

product of a different category is placed under a different segment. This leads to poor store

management which in-turn has a negative impact on consumers regarding product and affects the

business badly. It also causes problems in maintaining a record of stocks and checking the store stock

daily. To solve this human-made error, retail store owner or CPG industry can use Image recognition

and object detection technologies. Karna AI’s ShelfWatch, with the help of Image Recognition

technology, enables CPG and retailers to get in-store insights from shelf photos that help them to deliver

superior customer experience and optimize their marketing spend, all within the optimum amount of time.

HOW IMAGE RECOGNITION WORKS?

Step-1  Store reps take pictures of the shelves

step -2 The images are uploaded on the Image Recognition service provider.

Stp-3- Once uploading is done, the AI is trained on the available data to detect the SKU on the shelf

But, Karna AI's ShelfWatch gives you the option of a mobile application on which you can click a photo

in offline mode and can upload it afterward when you get online. The algorithm is created such that it

only needs one image of the SKU to train the AI.

Conclusion Karna AI’s Shelfwatch is trained in such a manner that it automatically analyzes the images to give

out a competitive analysis like share-of-shelf, and planogram compliance. To see how ShelfWatch

works, schedule a free demo now.