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E-store with selected high-end sport fishing gear
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Details

  • Scope e-store update and maintenance
  • Technologies nopCommerce 3.8
  • Business sector e-commerce
  • Model of collaboration Scrum / Agile
  • iteo team 3 x nopCommerce developers

Shopping made a whole lot easier with a gist of hi-tech personalization features that clients find both convenient and useful.

Timeline

  • 2020
    October

    the beginning of collaboration

  • 2021
    February

    recommendation engine development

  • 2021
    Now

    maintenance, enhancements, ongoing support

  • Project’s highlights

    Personalized recommendation engine plugin created by our team makes the purchase even more convenient, suggesting relevant products adjusted to a customer’s needs.

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    Business needs & goals

    Our client needed their store to be fully refreshed, modernized, and more user oriented, offering a clear and easy purchase process and giving relevant product recommendations for a better shopping experience. They needed a technological partner with a proper expertise, flexible approach and understanding of their needs.

    Functionality

    We developed two crucial functionalities adding up to a better user experience:

    • Fotofish
      A possibility of a thorough lure customization, choosing its basecolor, bodywork and patterns, tuning, tail details, eyes, as well as fins and geels.

    • Fishcoins
      Development of a royalty program in which a registered customer gets fishcoins for every purchase, gaining new benefits, special deals and faster service. A granted award can be used with the next purchase, and every customer reaches certain levels, silver, gold or diamant, depending on the number of coins gathered during the last 365 days.

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    Challenges & solutions

    As a result of solid research and development, we created a recommendation engine working in two convenient ways – connecting products with other similar or complementary ones, or matching clients with items of their probable interest. To do so, we used the ML .NET library with a Matrix factorization algorithm and we modified it according to the older version of nopCommerce preferred by the client.

    Client’s review

    From the start, they understood our priorities and provided a lot of helpful feedback and ideas for how to improve the backend of the platform.

    Outcome

    Matching products to specific customer needs increased our client’s sales and streamlined the process of purchase, making the website both highly convenient and functional.