Identifying & reaching out to the right audience helps in minimizing wastage in advertisement expenditure. How can we use the data available across platforms and identify consumer profiles (from past purchase history, patterns, behaviours), in order to target only those people who would be most likely to purchase our products? This will help us bring down the cost of acquisition significantly (~75-80%).
What it does
An algorithm to bring down the cost of acquisition across platforms for TATA SAMPANN Manual free sales using salesman in top notch stores and registering their feedback
Dispatching packages to the shop seller to record the sales fashion breaking sales profit for initial momentum
Installing cameras for customer based marketing
Providing Redirection to tata sampan website by providing free delivery of the first product
Detecting targeting segment conversion rate using backend analytics
Carrying out Targeted marketing depending on the Analytics report
Conclude on the demand and supply to respective stores.
How we built it
Python Opencv Xcode
Challenges we ran into
Privacy issues regarding acquisition of customer mobile number