Vision AI Empowers an Automobile Giant Personalize Customer Experience & Enhance Revenue
Walk-ins Customers' Video Analytics
The Akaike Edge
Experienced ML and DL Ops teams
Efficient Deployment 0%
Ongoing Maintenance 0%
Capturing the required data
After scrutinizing the existing video feeds, increasing the CCTV coverage was recommended. Fisheye cameras were installed as required.
Inferring from the solution
Combining the power of ML and DL, an AI-driven inference solution that captured the entire customer journey including customer walk-ins, behavior, and engagement was developed
Predicting the actionable insights
The data-driven, real-time insights including footfall traffic, demographic profiling, dwell time, emotion detection, and heat maps were transferred to a user-friendly dashboard for the marketing team.
Research shows that 87% of Vision AI
projects do not yield expected results
either owing to training data insufficiencies stalling the project, or being too slow to deploy. Our AI experts can help you accelerate in data sparse environments.