Overview
As a leading media company, Future Commerce spends significant time researching trends to create valuable insights for retail leaders. Manual workflows proved inefficient to connect information across vast content. AI assistant bundleIQ enabled Future Commerce to rapidly synthesize insights from large volumes of data.
The Challenge
Future Commerce serves over 50,000 retail subscribers by spotting and analyzing industry trends. The team needed to:
- Review 360+ trend reports weekly and relate them to existing content
- Identify new insights from vast amounts of data
- Validate internal research against external reports
- Present relevant trends efficiently for readers to take action
With manual workflows, synthesizing insights across content was time-consuming and limited.
The Solution
Future Commerce deployed bundleIQ to:
- Upload, organize and search internal and external content
- Rapidly draw connections between data points
- Uncover and validate new insights from large datasets
- Create content and interview questions using bundled data
The Results
With bundleIQ, Future Commerce achieved:
- 50% reduction in research time per team member
- 950% increase in content consumption per hour
- Faster insight discovery from vast datasets
- Improved productivity and efficiency in content creation
- Higher value delivery to clients within existing resources
The Key Advantages
Compared to manual efforts, bundleIQ enabled:
- Speed and scale in processing large volumes of data
- Granular searches within specific content bundles
- Finding insights humans may have missed
- Maintaining context for reliable answers
Read the Full User Story