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What is ShopperMX?

ShopperMX offers a platform that enables retailers and brands to quickly gauge how their in-store merchandising strategies affect shoppers. By leveraging virtual technology, we eliminate the expenses and time-consuming tasks linked to building physical displays during the planning phase. This groundbreaking method provides unique insights into shopper behavior that can only be derived from virtual techniques. With ShopperMX, companies can conduct virtual prototyping and learn through testing, resulting in a staggering 90% decrease in costs, outcomes that are ten times faster, and triple the amount of data compared to conventional in-store evaluations. This revolutionary platform not only streamlines the decision-making process but also enhances the overall effectiveness of marketing strategies, giving brands a competitive edge in the marketplace.

What is EPICA?

EPICA has effectively migrated its prediction platform to Microsoft's Azure through a strategic partnership, granting clients and suppliers secure and immediate access to EPICA's robust data science resources. Companies are utilizing the EPICA Platform in conjunction with Sophia® AI to maintain a competitive edge in the marketplace. Our integration process is designed to seamlessly align with your current technological systems, ensuring minimal disruption. By identifying trends, businesses can accurately anticipate their customers' future buying patterns. You can discover the chances of individual shoppers making a purchase or even tailor your audience to assess their likelihood of engaging with certain products. This customized strategy not only enhances customer interactions but also rewards them for sharing their data. Deliver a cohesive and captivating experience across your physical retail space and digital marketing efforts. The foundation for such accurate predictions is rooted in the extensive quality and quantity of data that powers the AI engine's learning framework, which consistently refines its predictive accuracy. Leveraging these insights allows businesses to build deeper connections with their clientele, ultimately driving long-term loyalty and satisfaction. By prioritizing data-driven strategies, organizations can adapt more swiftly to changing consumer behaviors and preferences.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Android
BigCommerce
Centro Basis
Facebook
Google Ads
Google Analytics
Mailchimp
Microsoft 365
Microsoft Azure
Segment EDI Platform
Shopify
X (Twitter)

Integrations Supported

Amazon Web Services (AWS)
Android
BigCommerce
Centro Basis
Facebook
Google Ads
Google Analytics
Mailchimp
Microsoft 365
Microsoft Azure
Segment EDI Platform
Shopify
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

InContext Solutions

Date Founded

2009

Company Location

United States

Company Website

www.incontextsolutions.com

Company Facts

Organization Name

EPICA

Date Founded

2016

Company Location

United States

Company Website

www.epica.ai/

Categories and Features

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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