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What is Cosmose?

AI possesses the power to understand, predict, and influence the purchasing habits of countless individuals offline by merging actionable data insights into their digital platforms. However, this remarkable technology is largely limited to ecommerce, which accounts for only 20% of the overall retail market. To address this gap, Cosmose aims to empower the other 80% of physical stores, granting them a fair chance to succeed. By leveraging a deep comprehension of offline consumer patterns, Cosmose AI provides precise recommendations and targeted advertising, allowing brick-and-mortar retailers to better understand their customers, foresee their needs, and effectively influence their buying decisions. The solution is designed for ease of use, as it requires no additional hardware or installation, boasts an impressive accuracy level of 2-meter precision, and is reachable on 1 billion smartphones across 360,000 stores. Through partnerships with over 400,000 applications, consumers can easily access the benefits of Cosmose without any added effort. Additionally, Cosmose AI integrates seamlessly with major online media platforms such as WeChat, Weibo, Line, Google, and Facebook, enhancing its effectiveness in various digital environments. This all-encompassing strategy not only improves the shopping experience but also helps to unify the online and offline retail worlds, fostering a more cohesive consumer experience. Ultimately, Cosmose represents a significant advancement in bridging the retail divide, ensuring that even traditional stores can harness the power of AI to compete in an increasingly digital marketplace.

What is BuyerGenomics?

A dynamic software solution designed to grow and retain customers with mathematical accuracy fosters substantial growth. By utilizing cutting-edge machine learning in conjunction with marketing automation, the predictive marketing system becomes smarter, streamlining operations while improving the overall customer experience both online and offline. BuyerGenomics surpasses traditional customer data platforms, outdated email marketing services, and typical customer relationship management systems, establishing itself as the premier Predictive Marketing Automation (PMA) tool for modern retail marketers. The effective collection and organization of customer data serves as just the beginning of its capabilities. Continuously updating its extensive, omnichannel customer profiles, BuyerGenomics customizes marketing messages and timing to create the most relevant and impactful experiences for consumers. In addition to converting insights from individual customers into actionable strategies that boost revenue, it also produces analytics that offer crucial insights for enhancing your broader marketing strategy. This ability to operate on both immediate customer engagement and long-term marketing effectiveness is a testament to its innovative approach, ensuring that businesses can adapt and thrive in a rapidly changing market landscape.

Media

Media

Integrations Supported

Facebook
Google Cloud Platform
Instagram
LINE
WeChat
Weibo

Integrations Supported

HubSpot CRM
HubSpot Customer Platform
Olo
Pipedrive
Salesforce
Zoho CRM

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Cosmose

Date Founded

2014

Company Location

China

Company Website

cosmose.co

Company Facts

Organization Name

BuyerGenomics

Date Founded

2015

Company Location

United States

Company Website

buyergenomics.com

Categories and Features

Categories and Features

Email Marketing

Not specified

Marketing Analytics

Not specified

Marketing Automation

Not specified

Personalization

Not specified

Predictive Analytics

Not specified

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