SHARE
Facebook X Pinterest WhatsApp

Anodot Launches AI Analytics for Retail

thumbnail
Anodot Launches AI Analytics for Retail

AI analytics

AI-powered analytics company Anodot has announced the launch of “AI Analytics for Retail.” The new analytics system is designed to help retailers increase holiday profits by reducing loss due to glitches in supply chain, payment, customer experience and more. Black Friday and Cyber Monday account for up to 10 times more revenue than a regular […]

Written By
thumbnail
Sue Walsh
Sue Walsh
Nov 30, 2017

AI-powered analytics company Anodot has announced the launch of “AI Analytics for Retail.”

The new analytics system is designed to help retailers increase holiday profits by reducing loss due to glitches in supply chain, payment, customer experience and more. Black Friday and Cyber Monday account for up to 10 times more revenue than a regular shopping day.

Unfortunately, said the company, glitches cost retailers an average of $250,000 per incident, which can result in serious financial setbacks. AI Analytics for Retail uses artificial intelligence and machine learning to uncover previously hidden information in large amounts of business data and turns them into valuable real-time sights.

According to Anadot’s announcement, these insights can help retailers in various ways:

  • Maintain confidence in market presence (search/comparison sites/forums)
  • Product presence (inventory, types, options, product images)
  • Site and store performance, customer journey, payment process, shipping process, returns process and more

“For retailers, the critical holiday season means online shopping spikes, and glitches can lead to larger losses, both monetarily and reputationally,” said David Drai, CEO and Co-founder of Anodot. “Today’s environment allows very little margin for error. Our solution ensures our retail customers’ sites and interactions are perfectly consistent across platforms. It effectively tracks exact customer activity and delivers concise data that is dependable, allowing us to ensure that consumers are having a best-in-class experience.”

Some of the examples of glitches the new system can detect include $2,000 televisions accidentally being marked as $200, and a dive in mobile sales for a particular group of products due to incorrect SKUs. The system can also identify correlations between a spike in demand for a product and a celebrity’s social media post so that retailers can take advantage of the increased visibility and ensure they have enough inventory.

AI for Retail works with ERP systems, web and mobile analytics, point-of-sale data, marketing campaigns, social media monitoring, IT data and more. It can bring in all kinds of external data including competitor prices, demographics, search engine data, social media and even weather data.

For more information visit: http://www.anodot.com.

thumbnail
Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

Recommended for you...

5 Defining AI and Real-Time Intelligence Shifts of 2025
Why Your AI Pilot Is Stuck in Purgatory; And What to Do About It
AI Infrastructure Services: Banking and Financial Services’ New Foundation for Computing
Ratan Saha
Dec 16, 2025
Real-time Analytics News for the Week Ending December 13

Featured Resources from Cloud Data Insights

Why Network Services Need Automation
The Shared Responsibility Model and Its Impact on Your Security Posture
The Role of Data Governance in ERP Systems
Sandip Roy
Nov 28, 2025
What Is Sovereign AI? Why Nations Are Racing to Build Domestic AI Capabilities
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.