The startup operates a virtual recommendation platform that utilizes modular AI algorithms to deliver personalized clothing suggestions based on individual style preferences. By enhancing product tagging and recommendation accuracy, the platform enables online retailers to better meet customer needs and improve sales conversion rates.
Funding
$600K 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.
Founders
Product
Problem
Online fashion retailers struggle to provide personalized shopping experiences that cater to individual customer tastes, leading to lower conversion rates and reduced customer satisfaction. Existing product tagging and recommendation systems often lack the sophistication to accurately capture nuanced style preferences and brand aesthetics. This results in generic recommendations that fail to resonate with shoppers, hindering sales and average order value (AOV).
Solution
Becoco offers a modular AI platform designed to deliver personalized clothing recommendations and styling solutions for online fashion retailers. The platform employs a combination of AI algorithms and fashion styling expertise to understand individual customer preferences and brand-specific style DNA. By integrating with existing CRM systems and offering flexible product import options, Becoco enables retailers to enhance their website curation, provide AI-supported stylist tools, and gain style-centric customer insights. The platform's AI-driven recommendations are deployed across various touchpoints, including website displays and targeted email campaigns, to improve customer engagement and drive sales.
Target Audience
Becoco primarily targets online fashion retailers, particularly those in the luxury segment, seeking to improve personalization, increase sales conversion rates, and enhance customer engagement through AI-powered styling solutions.
Features
- Modular AI solutions that can be flexibly combined to fit specific retailer needs
- Personalized outfitting displayed across website touchpoints and targeted emails
- Stylist Support+ equips stylist teams with AI-supported edits and recommendations
- Merchandising AI scales website curation with AI-supported merchandising that follows human inputs
- Stylitics provides style-centric customer insights to optimize product offerings and buying decisions
- Easy integration via Chrome extensions or API calls
- Flexible product import through web scraping or API
- Data & Analytics dashboards provide reports on customer preferences, engagement, and sales KPIs