Ai-in-a-Box
for Retail

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Comprehensive Multimodal Edge Ai

with the power of an open ecosystem

Overview 

The retail and consumer packaged goods (CPG) industry is characterized by relatively low margins, high seasonality, demand variability, inventory risk, and influence of consumer sentiment. These characteristics amplify the importance of predictive analytics for key activities such as sales forecasting, demand planning, supply chain management, and inventory optimization. The bottom line is ensuring the right product is available at the right price at the right time, thus meeting customers’ needs.​

Most stores with their existing security camera infrastructure are sitting on untapped, and valuable data on  behavioral insights. With real-time actionable insights into people’s movements and interactions in any physical space, spatial intelligence software can help retailers improve store performance, boost profits, and lower costs 

Build Domain-Specific Retail Applications

Ai-MicroCloud™ enables you to develop, deploy and manage bespoke real-time domain-specific Ai applications in demand forecasting, logistics, floorplan optimization and in-store promotion placement, loss prevention, automated checkout and other intelligent stores components, e-commerce, and online personalized recommenders.

Ai-MicroCloud™ enables integrating multiple independent data streams and the application of multiple algorithms, as appropriate, to create a single suite of retail analytics.

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Ai has the potential to create $2.2 trillion worth of value in retail and wholesale by 2035 by boosting growth and profitability.

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Accenture Report

A turnkey platform for end-to-end AI in a Box

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A streamlined experience for AI delivery

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Ai-Optimization-as-a-Service™ using OpenVINO™
Toolkit and Intel® oneAPI AI Analytics Toolkit

A full Life cycle Management Platform 

Use Cases

Time Series Data Analytics

Sales Forecasting

Demand Planning

Marketing & Advertising

Supply Chain Optimization

Edge Video Analytics 

Store Aisle Monitor

Store Traffic Monitoring

Shopper Gaze Monitor

Dwell Time monitoring

Ai Challenges at the Edge

Portability:

 

Flexibility:

 

Scalability

 

Resource Depth

 

End-to-End Life Cycle management:


Versatility:

 

Speed: Ai-MicroCloud™ enables you to develop, deploy and manage bespoke real-time domain-specific Ai applications in demand forecasting, logistics, floorplan optimization and in-store promotion placement, loss prevention, automated checkout and other intelligent stores components, e-commerce, and online personalized recommenders.

Ai-MicroCloud™ enables integrating multiple independent data streams and the application of multiple algorithms, as appropriate, to create a single suite of retail analytics.

Features

Ai-WorkStation:

Ai Data Lake:

Ai-AppStore:

Ai-API Engine: 


XPU Orchestration Manager:

 

Speed: Ai-MicroCloud™ enables you to develop, deploy and manage bespoke real-time domain-specific Ai applications in demand forecasting, logistics, floorplan optimization and in-store promotion placement, loss prevention, automated checkout and other intelligent stores components, e-commerce, and online personalized recommenders.

Ai-MicroCloud™ enables integrating multiple independent data streams and the application of multiple algorithms, as appropriate, to create a single suite of retail analytics.

Take a 21-Day Trial

Ai-Rover™

For Time Series Data

Automated No-Code predictive model-builder that creates human-readable explainable forecasts and anomaly detection models from historical time series data 

Architecture Whitepaper

Solution Brief

Ai Data Workshop

The Journey from Data to Insights
A 5-day, hands-on session

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