APN News

  • Friday, July, 2022| Today's Market | Current Time: 05:11:29
  • TEKNOFEET launches mobile app for its Android and IOS users

    Published on April 26, 2022

    Gurugram :   Gurgaon based startup TEKNOFEET which enhances footwear shopping experience by bringing together advanced technology and the science of feet / footwear has launched a mobile app for its users.  TEKNOFEET, is basically a bridge to fill in the gap between the shoe brands and customers by analyzing the right foot size. It was incepted in 2019 and since then the brand has attained almost 6000 unique customers from Delhi/NCR.

    In India it was recognized that 3 out of 5 customers wore the wrong shoe size which could also lead to major health issues at a later stage. It was a problem which was certainly ignored by a major part of the population. To solve this major issue, TEKNOFEET established a platform where it could provide ‘Perfect Fit’ footwear solutions by creating an ecosystem around ‘3D Feet Measurement’. It’s aim was to enhance the footwear shopping experience by bringing together advanced technology and the science of footwear. To provide a more feasible and easy experience to its customers, the brand wooed to establish an app without charging their customers.

    Mr M. Qazafi, CEO, TEKNOFEET, said.,” Footwear shopping is not an easy job, it always brings a big question of comfort and correct size to the customers. Also, as and when the pandemic hit in all the shopping including footwear was done online which magnified the problem.  We have created the 6000 customer base within 6 months of operations.  This when TEKNOFEET app stepped in and switched the way customers select, buy and wear footwear.  The app offers solutions around footwear fitting which involves a personalised recommendation algorithm and data tools to optimize fit. Apart from the mobile app TEKNOFEET also provides foot scan services through their offline stores called ‘Experience Centres and Kiosks’ leveraging Artificial Intelligence, computer vision and Machine Learning.

    SEE COMMENTS

    Leave a Reply