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AI Case Study

AI-driven product discovery platform

AI-powered product discovery optimizes shopping with a chat-based search system, image-based queries, and streamlined store onboarding

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Customer Overview

AI-powered product discovery for local shopping

TracknTake aims to improve the shopping experience by empowering users to easily find the products available in nearby locations. By using Generative AI, we implemented a chat-based search system that allows users to quickly locate items from local stores, reducing costs and delivery times.

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Business Challenges

TracknTake major business challenges

  • Stores-Registration

    Stores Registration

    It was difficult to unify data from various platforms and formats

  • Stripe-integration

    Stripe Intregation

    Enable real-time commission calculations for merchants

  • AI-Chatbot-for-search

    Search Optimization/AI Chatbot

    Build a Generative AI chatbot for tailored search results

  • Data-Entry-Using-AI

    Data Entry Using AI

    Implement AI to help stores create product listings and generate descriptions

  • Image-Based-Product-Search

    Image-Based Product Search

    Need to add functionality for users to search for products using images

AI-Driven Product Discovery Platform
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Techstack

TechStack guiding TracknTake

  • Python icon

    Python

  • PHP

    PHP

  • PHP laravel

    Laravel

  • Kotlin

    Kotlin

  • Swift

    IOS- Swift

Trackntake - Solution Overview
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Solution Overview

Shop locally with AI-powered convenience

TracknTake is your go-to app for easily finding and purchasing products from nearby stores. With our user-friendly interface, users can easily search for items by name or image, discover nearby stores that carry them, and schedule a delivery. Our AI-powered features streamline the shopping experience for both users and store owners. 

Features

  • Effortless product discovery
  • Image-based search
  • Convenient in-app reservation
  • AI-driven product descriptions
  • Seamless store onboarding
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