Instacart has already revolutionized grocery shopping by enabling delivery of groceries bought online in a little as an hour. The crux of the company? Their shoppers. They are the working bees that shop for their customers in the brick and mortar stores, communicate with them in real-time to resolve any issues, and bring the food to their doorsteps thousands of times every hour. Instacart is currently applying deep learning to help shoppers become more efficient through the shopping list. In the past this has been difficult given that retailers don't have great planogram data, and we can't track the shoppers movements precisely in-store. Enter AI and deep learning, which is allowing Instacart to predict the sequence that shoppers pick items in specific store locations - In some cases saving 10%+ time in-store. In this presentation, Jeremy Stanley, VP of Data Science at Instacart, will discuss the significant advancements across AI, data science and deep learning that are giving Instacart shoppers the tools they need to be most the efficient shoppers possible. He will also discuss the bigger picture at play - how AI technologies are enabling the on-demand delivery economy and the implications that these advancements will have on the retail industry.
Jeremy is currently the VP of data science at Instacart, conquering the world one carrot at a time. Jeremy leads a team of data scientists who are integrated into product teams to drive growth and profitability through logistics, catalog, search, consumer, shopper, and partner applications. Previously, Jeremy was chief data scientist and EVP of engineering at Sailthru, CTO of Collective, and founded and led the Global Markets Analytics Group at Ernst & Young (EY), which analyzed the firm’s markets, financial and personnel data to inform executive decision making. Jeremy holds an MBA from Columbia.