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    Retail Store Analytics using Computer Vision on AWS

     Info
    This service is a collection of utilities that will help retailers perform store analytics using computer vision on AWS for enhancing operational efficiency, customer service and security

    Overview

    This service offering delivers the following use case for retail store analytics using computer vision:

    1. Employee Assitance at Checkout: Captures the engagement between the employees and the customers during the checkout and segregate engaged vs non-engaged checkouts
    2. Store Heatmaps: Track the movement patterns of customers within the retailer’s aisles and areas of interest to create a heat map highlighting the most frequented areas which provides insights into the customer impressions across the store.
    3. Manager Activity Analysis: Analyse activities of Manager level employees at a retail store.
    4. Inventory Out of Stock Monitoring: Identify instances where shrink-wrapped pallets in the stockroom remain untouched for hours and flag these pallets optimizing store operations
    5. Suspicious Transaction Identification: Detects and flags suspicious return(or)void transactions conducted without the customers presence using POS data.
    6. Planogram Compliance: Build Planogram compliance solutions for the right placement of products in shelves and maximize sales.

    Highlights

    • Advanced store analytics by implementing computer vision on AWS to improve operational efficiency, enhance customer service, and reinforce security measures.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Implementation of this framework is managed and executed by Tiger Analytics. The platform is implemented in the client AWS ecosystem by Tiger's Services Team and the necessary support is provided through a standard model. Escalation matrix for different ticketing priorities will be agreed and defined in the Services Contract or SOW. Please reach out to cvretail.support@tigeranalytics.com  in case of any questions.