Context-AI edge computing solutions for reactive AI
AI innovations for retailers
Retail industry is in part, intersection between customers, brands and logistics operations
The oldest industry has seen optimization in the fields of Marketing, Vision, Culture and Agility.
The industry has been active in adopting data intelligence techniques from mining available resources.
Despite this most retail stores have a near zero market growth.
The retail store’s Problem
Low market growth will see a demise of retail stores.
Study conducted on retail stores show 90% retailers are close to zero growth.
Most retailers agree innovation is the only way forward.
In store innovation is beyond the capabilities of the retailers.
Adding metrics at crucial stages in physical stores is not possible at this time.
Our reactive AI system implements advance vision and data fusion techniques
The system makes IoT, AI and Big data analytics in stores possible.
The system can identify customer interaction with the products on display
This helps to improve customer engagement with the products.
The system preserves customer privacy.
It measures real-time consumption rate to simplify logistics.
Why is our approach better?
Our platform is for real-time and reactive data analysis in a disconnected space.
We use AI for answering queries.
High performance in the system using advanced nVIDIA GPUs.
The complex solution encompasses multiple deep networks and machine learning models.
Challenges to adoption of the solution
Overtness in sharing data and access with innovation partner
Integration with enterprise applications platforms
Improve awareness of shoppers privacy
Build value with a emphasis on empathy and safety.
Current customer traction
We are working with retailers for availability of data collection and building MVP.
Progress with enterprise platform providers of whom the retailers are customers
Interest shown by brands and advertising industry.