The main objective is to reduce loss in revenue due to delayed shelf-restocking (when product is in-stock in the store but not stocked on the shelf) and inaccurate forecasting (under-estimating future product sales) practices. The result is to demonstrate inventory automation using ECIS system by enabling the means to monitor and track store inventory in real-time, perform data analysis remotely in cloud, improve shopping experience for the consumers and increase revenue for the retailers in the retail industry. Machine Learning code can be found on my GitHub: https://github.com/priyankkalgaonkar
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