IKASI AI predicts, monitors, and optimizes to continuously improve results – down to the user level.
We continuously identify hidden revenue opportunities that you can measure.
Customer Visits
IKASI analyzes customer data to identify what influences trip frequency for each person. Then, we recommend optimized marketing strategies, promotions, and experiences to maximize visits and promote spend.
Purchase Value
IKASI discovers key drivers influencing customer spend. We help you bundle products and provide real-time offers, pricing, and marketing promotion flows to maximize average order value (AOV).
Secure Integration.
IKASI sits alongside your existing databases. We connect via APIs, meeting you where you data is, anonymizing personal information to ensure data is secure and compliant on our end.
“It’s like having an Individual P&L for each customer.”
– Global Travel Retailer
Total Customer Transactions
up to
Increase in Net Revenue
Integration and Results in
IKASI Casual AI extends autonomous experiments at a massive scale to continuously explore and revisit new strategies to attain correct-sized investments for each customer to:
- Increase the frequency of visits
- Encourage more spend per visit
- Increase customer Lifetime Value (LTV)
Fashion Retail Case Study
A premium fashion and accessory retailer catering to millions of customers faced a significant challenge. Only 25% of their new customers were returning for a second purchase.
The company tasked marketing, finance, and the data and analytic teams to implement AI that would improve the accuracy and effectiveness of their marketing efforts.
After some analysis, they realized that boosting their team of data scientists and infrastructure to achieve their loyalty and revenue goals would be a significant investment and take years to build.
Upon researching several AI vendors, the retailer partnered with IKASI to leverage their causal AI platform and team.
With IKASI, they were able to gain deeper insights into customer behavior to provide bespoke engagement and reduce churn risk within days by:
- Moving away from broad segmentation and creating promotions at the individual level.
- Running experiments to determine which promotions were effective and measure the lift they generated.
IKASI was able to connect securely into their customer, transaction, and loyalty databases with anonymized data.
Within five weeks, the team was able to gain deeper insights into individual customer behavior. IKASI was able to determine the exact promotion for each person.
Then, IKASI continued to learn and improve the strategy, successfully increasing second visits by an impressive 15% with considerable monthly cost savings and a 7.5% increase in revenue.
See Results in Days!
Integration is simple and fast. IKASI sits alongside your existing data and analytic stack.