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Neocom

Neocom provides AI-powered guided product advisors that utilize zero-party data to enhance customer engagement and streamline the purchasing journey. By addressing choice overload, the platform helps businesses convert anonymous website visitors into qualified leads, resulting in measurable increases in conversion rates and reduced return rates.

Boston, United StatesFounded 2020291K+ followers
Updated 20 months ago

Funding

$6.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CV
Funding rounds are not available yet.

Founders

Product

Problem

Many online shoppers face choice overload when browsing extensive product catalogs, leading to indecision and abandoned purchases. Traditional filtering methods often fail to provide personalized guidance, resulting in a frustrating shopping experience and increased product returns.

Solution

Neocom offers an AI-powered guided product discovery platform that helps online businesses convert website visitors into qualified leads. The platform uses conversational AI agents to engage shoppers with personalized questions, understand their needs, and guide them toward the most suitable products. By collecting zero-party data and leveraging machine learning, Neocom eliminates choice overload, streamlines the purchasing journey, and delivers tailored recommendations that align with individual customer preferences and business sales strategies. The platform integrates with existing e-commerce systems and CDPs, providing a seamless experience for both shoppers and retailers.

Target Audience

Neocom primarily targets e-commerce businesses with extensive product catalogs that seek to improve conversion rates, reduce product returns, and enhance customer engagement through personalized shopping experiences.

Features

  • AI-powered conversational agents that provide human-like, personalized guidance
  • Co-piloting assistance for rapid creation and scaling of advisors across multiple languages
  • Structured data collection to gather valuable customer insights during the shopping journey
  • Recommendation engine that considers both customer preferences and business sales strategies
  • Integration with existing e-commerce platforms and customer data platforms (CDPs)
  • Automated data cleansing and organization to simplify the process of connecting product data
  • Auto-scaling improvements to streamline advisor workflows
  • Real-time analytics and reporting to track advisor performance and customer behavior
This profile is AI-generated and may contain inaccuracies.