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The technology has been a major driving force within the e-commerce world, but in-store operations can see incredible benefits as well. In particular, image recognition helps uncover deep insights into current shelf conditions and competitor’s strategies.
Using pre-existing logic, brands can confirm that individual stores are complying with contractual agreements regarding the number of facings each SKU receives and percentage of share of shelf given to each product line. In-store shelf conditions can be compared against the desired outcome and violations are flagged immediately.
To gain real-time insight into retail operations, consider incorporating image recognition software into your field management strategy. If you’re unsure that such a solution is right for your company and your frontline processes, a pilot program lets you test run a new platform without requiring a huge upfront investment or major shift in internal workflows.
The end result of employing image recognition software is gaining more insight into real-time store operations and confirming how product lines are performing on a moment-to-moment basis. A window into shelf and display conditions facilitates more incisive and strategic decision-making processes.
Image recognition software can also help flag problems that could reflect poorly on the brand or adversely affect the customer experience. Products that have passed their expiration date should be immediately removed from circulation, for instance. Out-of-date price tags frustrate customers while also misrepresenting a brand’s identity.
A comprehensive execution management platform will include all the tools your frontline employees need to quickly and effectively gather real-time data and share it with other departments. From image recognition to reporting, everything your team needs is easily accessible through a single portal.
The ROI of having an eye on your stores
Interest in retail analytics is steadily increasing as companies continue to realize the incredible value that data offers. According to a 2017 MarketsandMarkets report, the retail analytics market will increase at a 19 percent compound annual growth rate over the next five years, reaching $8.64 billion by 2022.
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Image recognition in action
Image recognition involves using sophisticated software to not only capture photos, but also tag, sort, and catalog them in real time. Through the use of machine learning, image recognition software can even identify elements within a photo, such as how many facings or SKUs are visible on a shelf.
Frontline employees often document display conditions in real time and in precise detail. Image recognition software compares those photos to saved planograms and identifies potential gaps.
How image recognition works
Any robust field management tool needs to be intuitive and easy to use to gain traction with frontline personnel. The platform should support numerous mobile platforms, allowing employees to take pictures with both smartphones and tablets.
Check Display Conditions
Image recognition improves the efficiency and productivity of your field teams, enabling them to swiftly collect information without needing to manually record and process data.
Brands need up-to-the-minute information on in-store shelf conditions to drive strategic decision-making and improve sales figures. Data is truly king in this regard, providing companies with deep insights into virtually every facet of retail, CPG, and beverage alcohol operations, including shelf and display setups.
Brands can also leverage image recognition to assess ongoing promotions, gather information on displays, and see how effective current strategies are at engaging customers and driving sales.
Captured images are sent immediately to a shared, cloud-based platform for review and analysis. That’s when image recognition software goes to work, tagging and cataloging the image, as well as comparing shelf or display conditions against internal planograms.
If a problem is flagged, there’s very little delay in addressing it. Representatives can speak with store managers and find a solution as soon as the issue arises.
Increased responsiveness leads to stronger relationships between brands and their business partners, retailers, and more. Everyone wins.
From there, account managers can determine if image recognition time-saving and decision-making benefits justify a larger rollout.
Collected information is invaluable for brands looking to dynamically respond to emerging market changes on both a macro and micro level. To gain a competitive edge and stay ahead of the pack, brands should consider empowering their field teams with best-in-class image recognition software.
If a picture is worth a thousand words, then nowhere is that more true than in field management. Images have the power to increase frontline productivity, improve shelf conditions, and ultimately drive sales to new heights. With the addition of image recognition software, all these benefits are even easier to achieve.
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Administrators can leverage this information to effectively react to market changes, course correct promotions, and ultimately drive stronger sales in real time.
Collected images enable field teams to verify correct in-store execution and check for a variety of common inventory issues that adversely affect sales figures. For example, photos confirm existing product voids, providing field teams and store managers with the evidence to restock shelves with particular SKUs.
Real-Time In-Store Data
Don’t let data be a blind spot for your brand. Shine a light on shelf and display conditions by pairing together best-in-class image recognition and field management solutions today.
How Image Recognition Drives Brand Value
How to make image recognition work for you
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Field teams can leverage image recognition to catalog and share shelf and display conditions quicker and more accurately than ever before. The many applications of image recognition in this space include the following:
What’s driving demand for image recognition?
Learn how other companies leverage GoSpotCheck to gain visibility and drive execution.
Field teams are able to collect in-store data in real time, recording figures related to in-stock distribution, share of shelf, pricing, and number of facings. This information, once analyzed by image recognition software, is invaluable for brand administrators to identify inventory gaps, pricing inaccuracies, and shelving issues that may hurt sales.