Ecommerce AI and Retail Insights

Want to unlock the value of retail computer vision and other data to win market share and improve CX? Our seasoned workforce can help.


AI for ecommerce enables dynamic pricing, fraud detection, optimized product search, and contextual search, also known as “shop the look” or visual search. CloudFactory handles the data cleansing, enrichment, and labeling work; you get the consumer behavior insights you need to improve ecommerce experiences.

Woman shopper choosing and buying clothing using a display with virtual augmented reality.

What We Offer

  • A fully managed workforce with experience labeling 2-D and 3-D images and video data.
  • Expertise in processing unstructured data by web scraping, validating, enriching, and geo-coding.
  • Skill with all major image annotation tools—and the ability to quickly learn your in-house tools.
A retail store security camera gathering multiple computer vision images, which CloudFactory’s analysts prepare and label for machine learning and retail consumer insights.

Scaling a platform business by outsourcing data work

Data enrichment and validation

Bizly’s platform helps teams find the perfect event venues with a minimum number of phone calls. The company also provides resources for managing events, building and managing guest lists, and measuring event impact.

CloudFactory’s managed workforce played a key role in building Bizly’s platform database by enriching and validating key data fields for hotels and other event venues.

  • 9x growth in Bizly’s platform library
  • 12,000 venues enriched in six months
Businessman using technology during tradeshow event.

Improving retail automation with human validation

Data validation

This retail intelligence company collects and analyzes online and in-store price data to drive business value for brands and retailers. The company’s product combines data science and human validation to offer solutions for the retail industry.

CloudFactory’s data analysts verify software outputs against real-world data and validate store images taken by secret shoppers to enhance automation.

  • More than 97% accuracy, exceeding target
  • 48-hour turnaround time requirement
Retail store background with machine learning and artificial intelligence concept.

CloudFactory has been a reliable and robust partner for us as we scale our business. Their efforts have enabled us to quickly provide insights to our customers that wouldn't be possible without their help.

Matt Talbot


A person with a smartphone takes a photo of a clothing store display.

The CloudFactory team quickly caught on to what we were doing. They understood the eccentricities of the work, asked the right questions, and acted very quickly on any feedback we had.

Gus Goldsack

Product Manager

An open laptop showing Bizly’s event venue platform.

Ready to Get Started?

Speak to our sales team to learn how we can provide quality data for your retail AI projects.

How CloudFactory Works For You

Ready to Scale

Ready to Scale

With more than 7,000 active data analysts and thousands more on standby, we’re ready to scale with seasonality and as your business grows.

Expert Annotators

Expert Annotators

Our analysts have an average tenure of two years and partake in upwards of 30,000 hours of professional development and training each year.

Retail Industry Experience

Retail Industry Experience

We’ve worked with more than 80 retail clients on data processing and computer vision data labeling to accelerate automation and AI programs.

Recommended Reading

Client story: Quality data enrichment expands Bizly’s platform business

CloudFactory’s data analysts verified data and enriched location profiles to help scale Bizly’s event-planning platform.

Guide: Smart retail operations with AI, robotics, and automation

Explore the computer vision and AI robotics innovation helping retailers improve the retail experience from warehouse to store to door.

Ebook: Computer vision and smart retail

Discover how AI, computer vision, and data labeling accelerate innovation at scale and support rich in-store and fulfillment experiences.

Contact Sales