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Shelf monitoring and retail execution platforms Eyes on the shelf, checking with cameras that the right products are in the right place A sales representative from a biscuit company walks into a kirana store in Pune, a small neighbourhood shop, and takes a photo of the shelf on a phone. Within seconds, an app shows whether the company's biscuits are there, placed where the company agreed with the shop, and priced correctly. Then the representative moves on to the next shop.

A product that is not on the shelf does not sell. So consumer-goods companies, which in India are usually called FMCG companies (fast-moving consumer goods), spend heavily on checking their products in hundreds of thousands of shops. They check three things: that the products are in stock, that they are placed as agreed with the retailer, and that they are priced correctly. The buyers of the software in this Market Segment are these consumer-goods companies, and the retailers themselves.

One photo of the shelf, three checks: computer vision reads the sales representative's photo, compares it with the planogram, the agreed layout, and reports whether each product is in stock, placed as agreed and priced correctly.One photo of the shelf, three checks: computer vision reads the sales representative's photo, compares it with the planogram, the agreed layout, and reports whether each product is in stock, placed as agreed and priced correctly.

This Market Segment covers the companies that do the checking with data and cameras. It has four companies. Three of them are start-ups from Bengaluru, and most of them use computer vision: software that recognises objects in photos.

Every company named here has posted software engineering jobs in India. Famous companies that don't actively hire software engineers in India are left out.

The same sales representatives also use apps to take orders from shops. Those apps are covered in Market Segment 26.5, B2B e-commerce platforms (in Industry Vertical 26, E-commerce and D2C brands).

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The shelf found in the sales data. A missing product can also be spotted without a photo. If a product should be selling at a store but is not, it is probably missing from the shelf.

Retail Insightsreads a retailer's sales data to find those products. It also finds the waste and the stock errors behind them. It has engineers in Bengaluru, and the most job postings in this Market Segment. (More on the sales data from the billing counter in Market Segment 27.3, Retail checkout and store systems.)

The shelf photographed and read. Back to the biscuit company's representative from the start of this Market Segment.

Infilect and Snap2Insightrecognise products in photos of shelves. The photos are taken by sales representatives or by cameras. The software checks the shelf against the agreed layout, which the industry calls a planogram. Infilect has engineers in Bengaluru. Vision Group Retailsells the same shelf checks, which the industry calls audits, and the software for drawing planograms. It has engineers in Delhi. Two ways to find a gap on the shelf: Infilect, Snap2Insight and Vision Group Retail read photos of the shelf, while Retail Insights spots a product that should be selling but is not in the store's sales data.Two ways to find a gap on the shelf: Infilect, Snap2Insight and Vision Group Retail read photos of the shelf, while Retail Insights spots a product that should be selling but is not in the store's sales data. The shelf that reports itself.

A representative who photographs shelves is slow, and covers only a few shops a day. Cameras fixed on the shelf, and robots that move around the store, can check every shelf every hour. But in India, millions of small shops sell most consumer goods. There, the photo on the representative's phone is the version that can reach every shop.

That is how the biscuit company knows its biscuits are on the shelf. Software reads the representative's photo, or spots a gap in the store's sales data.
Who they hire

Who these companies hire, and for what, is on What retail tech companies hire for.

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