Opporture

Reinvent retail experiences

A 3D illustration of an astronaut looking at magnificent structures on an alien planet.

Reinvent retail experiences

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AI in retail - riddled with dilemmas

As a retail company, you might already have ML Models in place to revolutionize the shopping experience for your customers. However, you are not able to fully realize their potential due to implementation challenges and dilemmas:

  • You are inundated with data, but you are also aware of the lack of data integrity across systems, the limited quality/accuracy of your data, and the perception that your data is unusable.
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  • You are not able to decide where your ML Model gives you the most value; online or in-store, customer-facing or non-customer-facing.
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  • You lack the resources, talent, or the capital required to scale up your ML models.
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  • You are afraid that your algorithm produces biased results, which may result in negative shopping experiences for your customers.

With Opporture’s ML consultants, you can make the most out of your ML models. Irrespective of whether you are a brick-and-mortar retail outlet, an online store, or a retailer that provides an in-store digital experience – we can scale your ML models to evolve to your needs.

Enabling Smarter Retail

Deliver personalized, contextual, and omnichannel retail experiences to your customers, with cognitive ML models.

Before After A seller helps the buyer choose a product in a retail shop.Illustrates customer tracking by mapping done for a seller and buyer in a retail shop.

Customer Tracking

Track and analyze the behavior of your customers in your store through skeleton key points, and derive movement detection, action tracking on video frames, as well as product localization and intention detection.

Before After A greyscale image of juice bottles on the shelf of a supermarket.

Shelf Analysis

Analyze product positioning, detect empty spaces, and spot incorrectly placed or stacked products through bounding boxes. Achieve smarter inventory management and supply monitoring.

Before After A greyscale image of a TDK D60 cassette with a barcode.A greyscale image of a TDK D60 cassette with the barcode region highlighted for Barcode Analysis.

Barcode Analysis

Train your algorithm to recognize barcodes at scale. Label the entire barcode, as well as separate labels and transcription for each number.

Before After A greyscale top-view image of two young women lying down on the floor wearing checked shirts and sunglasses.Image of two young women lying down on the floor wearing checked shirts and sunglasses, with different regions classified and labeled for E-Commerce Tagging.

E-Commerce Tagging

Differentiate each product with appropriate tags according to the search filters of your eCommerce website. Classify your products for search engines, and make sure that your clients discover exactly what they want.

Before After A greyscale image of a woman walking in a sandy area with a backpack.Image of a woman walking in a sandy area with a backpack, with different regions segmented in various colors for Fashion Trend Analysis.

Fashion Trend Analysis

Detect and analyze fashion trends by identifying and classifying various garments. Derive a classification based on a complex labeling taxonomy that considers color, fabric, pattern, and other additional attributes for each item.

Want a successful Retail AI application?

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