Use the questions below to evaluate where you stand in the AI maturity model and uncover what steps you can take to advance your Al initiatives.
Collect, store, access & review data (1/5)
We're collecting & storing data for our e-commerce business.
We're evaluating better ways to collect & store data on visitors, users, customers and transactions.
We're analyzing our analytics data to extract insights.
Early AI interest (2/5)
Our company's leadership interest in using E-commerce AI/ML is:
We discuss and evaluate E-commerce AI/ML solutions:
Confidence in implementing an AI/ML project in the coming 90 days:
AI experimentation (3/5)
At least 1 (one) proof-of-concept machine learning model has been developed in our organization.
Open to use (or have used) 3rd party platforms that offer end-to-end AI/ML solutions.
At least 1 (one) pilot/project has been validated and the AI/ML solution is production-ready.
AI in production (4/5)
Momentum has been lost after initial AI/ML model has been deployed in production. No further AI/ML experimentation or improvements were made due to lack of resources ($, specialists).
We have been using AI/ML for more than 12 months and we're ready to commit to hiring an AI/ML team.
Hiring a dedicated in-house AI/ML team is our #1 priority for our organization in the next 12 months.
AI used for disruptive new digital business models (5/5)
We have a dedicated AI/ML team in our organization that is actively exploring for new AI/ML solutions to optimize our processes and innovate our products/services.
The ethics concerning our AI/ML solutions are frequently addressed.
Our organization's DNA is 100% AI-first: all new digital projects at least consider AI/ML, and new products and services have embedded AI/ML.