Business Insights and Intelligence Powered by AI’s Anticipatory User Experience: Predict, Recommend, Manage
- For Retail, Sales, Supply Chain, IoT, Merchandising.
- A client in the Media and Advertising industry wanted to improve the profitability of their media buys.
- Our client, like most companies, was using less than 3% of their internal data to drive decisions.
- Analysts were making decisions of which advertising spots should be purchased based on historical fulfillments, not on untapped opportunities.
- Analysts were filling requests based on convenience, not based on optimal profits across multiple customers.
- Trained AI algorithms using supervised learning against hundreds of thousands of historical media buys and opportunity fulfillments.
- Detected unfulfilled opportunities and recommended media buys to better optimize spend and profitability.
- Automated workflows and review processes using AI to reduce human intervention and reviews.
- Used machine learning to read and classify unstructured data in order to automate data input.
- Enabled analysts to focus on higher level decision.
- Demonstrated AI in a select pilot group that quickly communicated the benefits and opportunities to the larger organization.
- Reduce response times for opportunities.
- Reduce headcount of teams by increasing efficiency.
- Increase profitability of media buys by matching the ad slot to the optimal opportunity.
- Improve media buying strategies by providing insights in to unfulfilled opportunities.