Klassified Mall Case Study: Creating a Smart, Multilingual Shopping Assistant with AI

Introduction

Online shopping should be simple. However, without the right infrastructure, tools and support, customers can get lost in endless searches, struggle to find clear answers, and face language barriers that make buying difficult.

Today, AI makes it possible to give every shopper a smooth, personal, and helpful experience, no matter what they’re looking for or where they’re from.

Client Overview

KlassifiedMall, a premier online marketplace connecting you with a diverse range of local grocers and vendors.

They aim to empower local businesses, enhance shopping experience, offer convenience and choice, support local economies and foster economic growth by connecting consumers with local businesses and supporting the local food industry.

CloudPlexo’s Solution: Building a Smart, Multilingual Chatbot for Klassified Mall

CloudPlexo designed and deployed an intelligent chatbot that acts as a friendly, always-available shopping guide for Klassified mall.

This chatbot doesn’t just answer basic questions, it understands shoppers’ intent, searches across thousands of listings in seconds, and responds in multiple languages to fit the diverse customer base and languages.

How It Works

• Conversational Shopping Assistant
  The heart of the solution is a chatbot powered by Claude 3.5, built using Amazon Bedrock. It can understand natural questions and reply in real time.

• Multilingual Support
  Klassified Mall’s audience is diverse, so the chatbot was designed to handle multiple languages fluently. Whether a shopper types in English, French, or any other supported language, the bot keeps the conversation flowing naturally.

• Fast, Relevant Search
  Behind the scenes, OpenSearch powers quick, precise searches. It scans listings and matches what the shopper wants with what’s actually in stock, so results feel spot-on, not random.

• Built for Scale
  The whole system runs on Next.js for a smooth, modern web experience, and uses AWS Lambda to handle tasks behind the scenes. This keeps everything responsive, reliable, and ready to scale as Klassified Mall’s customer base grows.

Key AWS Services Used

• Claude 3.5 via Amazon Bedrock to power the chatbot’s natural understanding

• OpenSearch to provide fast, relevant search results

• AWS Lambda to orchestrates tasks and data flow

• Next.js to deliver a seamless frontend experience

The Impact: What Changed for Klassified Mall?

Since launching the smart, multilingual chatbot:

• Shoppers get answers faster, without waiting for human support
• More visitors can shop comfortably in their own language
• Product search is quicker and more accurate, boosting conversion
• The support workload is lighter, saving time and cost behind the scenes

Conclusion

By adding a smart, multilingual chatbot, Klassified Mall has made shopping local groceries online faster, clearer, and more convenient for everyone.

Shoppers find what they need when they need it, local sellers reach more people, and the entire experience feels simple and personal, just the way it should be.

Let’s help you create an personalized solution to suit your business needs and use case. Let’s talk.