Artificial intelligence (AI) and machine learning are critical elements of the next generation of analytics, but without a robust implementation plan all the insights in the world won't generate any meaningful results. These tools require a foundation of relevant data and a clear vision of what results are expected in order to reach their maximum potential.
This special report examines some of the best practices retailers should keep in mind when they adopt new AI-powered tools, as well as tips for conveying data-derived solutions to non-data scientists. Specific topics covered include:
- Enabling personalization efforts that take location, channel and future behavior into consideration, making them more relevant;
- Supporting wireless systems that can network with loyalty apps to deliver an enhanced in-store experience, as well as detect internal problems such as WiFi outages before they occur; and
- Optimizing merchandising and replenishment practices to prevent both overstocks and out-of-stocks.