Convosearch provides an AI‑powered search engine that helps e‑commerce sites increase sales and improve customer satisfaction by delivering highly relevant, personalized results. The platform integrates directly with product catalogs and uses natural‑language understanding to surface the right items in real time, reducing friction in the shopping journey.
Funding
Funding not disclosed
Founders
Product
Problem
Online retailers often struggle with low conversion rates because customers cannot quickly find relevant products, leading to abandoned carts and reduced satisfaction. Traditional keyword search lacks the contextual understanding needed to personalize results for individual shoppers.
Solution
Convosearch offers an AI-driven search engine that interprets user intent and delivers highly relevant product results in real time. By leveraging machine learning models trained on catalog data and shopper behavior, the platform personalizes rankings for each visitor, increasing the likelihood of purchase. The solution integrates with existing e‑commerce platforms via APIs and plugins, requiring minimal development effort. Search performance metrics and insights are provided through a dashboard, enabling merchants to continuously refine product discovery and optimize sales funnels.
Target Audience
Primary customers are online retailers and brand e‑commerce sites seeking to improve product discovery and increase conversion rates.
Features
- Natural language processing that understands conversational queries and synonyms
- Real‑time personalization using shopper behavior and purchase history
- Seamless integration with major e‑commerce platforms through REST APIs and ready‑made plugins
- Analytics dashboard showing click‑through rates, conversion impact, and search trends
- Automated relevance tuning with continuous model training on catalog updates
- Fast, scalable infrastructure ensuring sub‑second response times even during traffic spikes