How Instacart delivers on time (using quantile regression)
<p>At<strong>Instacart, we deliver a lot of groceries</strong>. Very soon, <a href="https://news.instacart.com/instacart-announces-nationwide-expansion-one-year-of-free-grocery-delivery-in-texas-and-the-dbc6313ae822" rel="noopener ugc nofollow" target="_blank">80% of American households</a> will be able to use Instacart. In a previous blog post <a href="https://tech.instacart.com/space-time-and-groceries-a315925acf3a" rel="noopener ugc nofollow" target="_blank"><em>Space, Time and Groceries</em></a><em> by </em></p>
<p><a href="https://medium.com/u/eac4abbe4148?source=post_page-----2383e2e03edb--------------------------------" rel="noopener" target="_blank"><em>Jeremy Stanley</em></a></p>
<p>, we talked about how complex our logistics problem can be. In particular, we need to solve a <em>Dynamic Capacitated Vehicle Routing Problem with Time Windows (DCVRPTW)</em>. The goal is to ensure orders are delivered on time and in the most efficient way.</p>
<p>Our fulfillment algorithm decides in real time how to route our shoppers to grocery store locations to pick groceries and deliver them to customers’ door-steps in as little as one hour.</p>
<p><a href="https://tech.instacart.com/how-instacart-delivers-on-time-using-quantile-regression-2383e2e03edb"><strong>Click Here</strong></a></p>