Big Data Fulfillment Recommender System
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Project Budget$1500 - $3000 USD
We are a start-up looking for a Big Data Recommender System developed and implemented that will provide our users with data driven suggestions.
This will involve building an algorithm for a stock fulfilment/replenishment system
The system will take into consideration amongst other variables.
-The size and composition of the fleet
-The capacity of the fleet
-The location of the fleet
-The inventory levels per sku at each site
-The min and max levels of stock per sku in each site
-Historical data on Turnaround times, Time delays, Offloading/loading times, Operating hours etc.
It will calculate and recommend the optimum sku mix, optimium time and optimum vehicle to schedule to generate the optimum outcome.
As the data grows, must have the ability to improve its suggestion capabilities.
Data currently in SQL format in multiple sources.
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