Recommendations

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Definition

Recommendation engines enable retailers to serve up relevant products that shoppers are most likely to buy. Tools may use shopper's region, age, gender, or previous buying history. 

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Products

Complete the Look
By FINDMINE
FINDMINE's "Complete the Look" technology creates complete outfits around each product. They blend the art of styling with the ease of automation to faithfully represent your brand at scale and help you answer "how do I wear this?" for every product ...
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ContactlessFit
By Bold Metrics
Contactless Fit™ is a first-to-market solution by Bold Metrics that easily integrates into your in-store experience to help shoppers find the right size without physical try-ons. In-store, a simple size recommendation isn’t enough, that’s why Contact...
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Easysize
By Easysize
Easysize finds the perfect size and fit for clothing and shoes online. It helps fashion brands to increase sales and lower online returns, while making the fashion industry more sustainable.
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Kindly Virtual Shopping Assistant
By Kindly
Kindly is a virtual shopping assistant. It enhances your website experience and converts visitors into loyal repeat customers. The Virtual Shopping Assistant combines the AI and machine learning capabilities of our Conversational AI Chatbot, the powe...
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SLI Systems
By Avolin
SLI Systems is a cloud-based search platform that allows retailers to convert browsing into buying through product recommendations, using sophisticated machine learning to predict what each shopper is most likely to buy in a given moment. Ecommerce r...
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Vue.ai Personalization Engine
By Vue.ai
Vue.ai's personalization engine helps retailers grow revenue multi-fold with the power of A.I. that constantly learns and re-learns customer behavior as it relates to their business needs. Vue.ai allows every retailer to customize A.I. personalizatio...
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CabinetM helps modern marketing and sales teams manage the technology they have and find the tools they need. The CabinetM marketing technology management platform enables full lifecycle support around technology discovery, qualification, implementation, and management. Marketing teams using CabinetM gain critical visibility and leverage to save time, money, drive revenue, and manage digital transformation. The company has built the industry’s most comprehensive database of over 15,000 marketing tools across 500+ categories, and currently has the largest set of marketing stack data as a result of hundreds of marketing stacks that have been built and are being managed on the platform.

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