Latest developments in AI has impacted how brands are selling their products in-store. The retail landscape has changed a lot in the past decade. Few understand the magnitude of this change. One thing is clear though, early adopters will collect most of the benefits.

Stay ahead of the curve with this article as I outline the 4 ways AI has affected how brands are selling their products in your neighborhood retail store.

No more stock outs

Retail stores stocking up products

Brands have been affected by stock outs since long. Retail stores are dealing with multiple brands at a time. This makes it difficult to honor planogram compliance brands have in place.

There are security cameras in every store that collects tons of video data. Using live feed from these cameras & Karna AI’s computer vision technology, brands are detecting stock outs in real time. The AI is capable to detect whether a product is present on the shelf.

Previously field executives used to check each retail stores individually for stock outs. This was a slow process, with stock outs often going unnoticed for a long time racking up huge losses for brands.

Tailor your ideal Retail Experience

Are signages more effective at the entrance or at the cashiers point? Are round marketing materials more effective than square ones? At what height my SKUs should be stacked? These are some questions that troubled brand experts of a large CPG company.

Using security camera live feed & our computer vision AI, brand experts are now able to attribute the impact of merchandising elements to shopper experience. Analyzing foot traffic and the time customers spend looking at merchandising enabled brands to understand what works & what doesn’t

Create the ideal shopper environment where your brand wins. Check out our tool which provides you with everything needed to create your own ideal shopper environment.

Find out what’s in & what’s out

Brands historically exploited new trends & changes in styles to stay relevant. With the advent of social networks & photo sharing platforms, there is a lot of data lying in the wild expanse of the internet. This goldmine of data is just what you need to figure out the latest trends.

For example, let’s consider the study conducted by Nielsen & Karna AI to provide a holistic & unbiased view of the Indian consumers’ take on fairness by mining photos from Instagram. Among other insights it was found that fairness continues to be a critical need for the Indian consumer, though some perceptions around it are evolving.

The focus is moving towards products providing lasting fairness as opposed to quick fixes, evident by the flat sales of the fairness creams meanwhile sales of face wash & body lotions have increased.

Riding the e-Commerce wave

Traditional distribution channels were disrupted with the introduction of e-Commerce platforms. These platforms are unique as in they promote products using predefined set of algorithms.

To boost organic traffic to your products, brands are using specific keywords in the product image descriptor tags, this ensures efficient SEO. Doing this at large scale in multiple languages is a challenging task.

Using Karna AI’s computer vision technology we are able to tag thousands of product images with their specific keywords in their image descriptors tag. This helps CPG brands optimize traffic to their products on e-Commerce platforms. In short, it drives up their revenues.

By now we have seen the ways AI has impacted the Retail Landscape. The objective of market research has never been different: to develop an understanding of consumer. What has changed, though, are the paths that take us there, drastically shorter and cheaper.

Do you want to be innovative in your retail strategy?, book your free demo of Karna AI’s products.


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