Monsanto and Amazon paired for one deceptively simple, yet agonizingly complex case: Disrupt Monsanto’s business using Amazon’s natural language processing and artificial intelligence in marketing and customer strategy.
For this case competition, my team recommended increasing the ease of doing business by improving forecasts for product demand and increasing product availability by implementing Amazon Web Services machine learning into Monsanto’s supply chain.
Our team recommended utilizing Amazon Web Service’s machine learning engine by first gathering existing data from both Monsanto’s Climate Fieldview product in conjunction with the historical yield data from the company’s AgAnytime platform. Increasing the adoption rate of Fieldview with incentives will help the machine learning to aggregate more information and produce better predictions in the future.
To coordinate with the supply chain, we recommended integrating this system into distributor’s processes with a vendor-managed inventory system. Additionally, while this system hopes to prevent cases of product stock outs, the optimal product recommendation will offer ideal substitutions.
The benefits of this recommendation apply to each member of the supply chain - from the farmers, to the distributors, and back to Monsanto as the supplier.
