POS Data Analytics

*Aapana [Samskrit] : Store 

Data that your POS system collects during every transaction is a gold mine to improve your business. Call us to know how?

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    The data that your POS system collects during every transaction is a gold mine in terms of being incredibly useful in improving your business. A POS system participates in almost every daily activity of a retail business. Therefore the POS can record multiple bits of information such as inventory, product transaction, staff performance, customer insights. Merchants then can analyze this information to make data-driven decisions to grow their business. After analyzing, POS data can show you the way to track and forecast your stock counts, optimize your marketing campaigns, give you deep insights into your ideal customers, and much more.

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    Leverage AI-Powered Analytics To Get Meaningful Insights From Real-Time POS Data And Beyond. Know Your Customer, Enhance Your Decision-Making, And Run High-Yield Promotions. Point of Sales data analysis is a key element for manufacturers and retailers to understand shopping trends, consumer behavior and basket level insights.

    Why Apana ?

    Advanced Analytics

    Powered with predictive and prescriptive analytics to provide recommendations from data.

    Artificial Intelligence

    Get deep insights on shopping behaviours with a very less analysis.

    Data Integration

    Understand shopping behaviours by utilizing data from multiple sources.

    Real-time POS data analysis

    Unlike traditional POS analytics softwares which have old POS data, Compass is updated with fresh real-time data.

    Forecast Sales

    Use your existing POS data to plan for future promotions and predict ROI.

    Case Studies

    Why choose Aaruni?

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    Here we explain how your business benefits from our services.

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    Driven by Return on investment
    Designed for exact business need & longer shelf life
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    Deep knowledge about client business

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    Simple & easy user interface
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    High performance architecture
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