Case Study: Instacart cuts event research time and improves fulfillment with PredictHQ

Instacart uses PredictHQ data to optimize grocery transactions for millions

Instacart, the leading grocery technology company in North America, faced a challenge in scaling its manual process for tracking local events, which was critical for preventing order delays and ensuring high-quality fulfillment. Their operations team was spending hundreds of hours annually piecing together event data from disparate sources, a method that became unsustainable as the company grew. To solve this, they turned to PredictHQ and its intelligent event data API.

By integrating PredictHQ's data, specifically its Polygons feature for visualizing event impact areas, Instacart automated its process. The PredictHQ solution cut the team's event research time by 50%, saving them dozens of hours per month. This allowed the team to focus on real-time operational issues and empowered Instacart to proactively manage event-related disruptions, ultimately protecting the customer experience.

Instacart

Erica Quintana

Manager, Marketplace Operations