In-Store Engagement Tactics
Here are 3 ways retail stores can leverage AIOps to enhance consumer IT user experience:
- AI can go to work in predictive maintenance, anomaly detection and performance monitoring and thus anticipate and prevent IT system failures in critical systems (like point-of-sale (POS) machines and fuel pumps.)
- Use AI to ensure that popular products are always in stock and reduce waste by predicting demand accurately, which leads to better consumer satisfaction.
- Implement AI-driven energy management systems to optimize lighting, heating, and cooling in the store, thereby reducing operating costs and contributing to a more comfortable shopping environment for consumers.
Troy Baldwin
Senior Product Management Director, Compucom
Shahin Kohan, a seasoned and trusted technologist, businessman and advisor, is on a mission to catalyze the potential of people and organizations through the power of technology. Three decades of experience working across industries has granted him the knowledge, resources and perspective to effectively create solutions to problems of any size, and ultimately help others make their impact on the world. His companies, including AIMS360, the leader of fashion technology, and Kumo Technology, a pioneering workflow innovation and software development company focused on the private lending industry, allow him to achieve that goal. A proud American immigrant raised amidst the struggle of Tehran, Iran in the 70s, his inspiring journey of possibility, persistence and passion fuels his deep appreciation and endeavor to make technology more accessible, human and powerful for all.
Consumers:
Optimistic yet Cautious
Elevating In-Store Experiences with AIOps
