The client, a publicly listed company serving other publicly listed companies, faced the task of enhancing the fund recommendation platform. The objective was to surpass the performance of existing recommendations, thereby providing superior service in selecting appropriate investment funds for their users.
Gradient Ascent teamed with our client to develop a comprehensive strategy, leading to the creation of a prototype that outperformed the existing model in generating accurate fund recommendations. Although the prototype showcased significant enhancements, deployment challenges arose due to unforeseen disruptions during the pandemic.
Deployment of the new recommendation engine remains postponed due to external challenges. Despite these hurdles, the prototype has demonstrated substantial potential to improve accuracy and client satisfaction
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