Company and Use Case

Picnic is an innovative online grocery delivery service based in the Netherlands. With a focus on efficiency and sustainability, Picnic leverages electric vehicles to deliver fresh groceries at a scheduled time, offering a modern take on grocery shopping. Picnic’s data-driven approach relies on a robust supply chain system to ensure reliable, real-time analytics that optimize their delivery routes and operational logistics.

Performance Problems to Solve

Before adopting Timescale, Picnic faced challenges with data visibility, specifically around real-time operational insights. Their previous data system only allowed access to events from the previous day, making it difficult for the team to monitor and address time-sensitive issues in their supply chain, such as delivery delays or warehouse inefficiencies.

Performance Gains Unlocked

With Timescale, Picnic unlocked real-time data processing, giving them immediate insights into their operations. Their analytics team can now monitor delivery and warehouse performance through real-time dashboards, enabling quicker decision-making. Timescale’s ability to handle time-based queries and hyperfunctions like time buckets and continuous aggregates has streamlined Picnic’s operations, improving warehouse management and reducing supply chain bottlenecks.