Case Study: Amuse achieves 30% lower cost per delivery and self-serve analytics with Sigma Computing

Amuse Cuts Cost Per Delivery by 30% and Enables Self-serve Analytics with Sigma

Amuse is a Los Angeles–based e-commerce cannabis delivery startup that needed to rapidly improve operational visibility and lower its cost per delivery (CPD). Facing a manual, Excel-driven process to calculate CPD across many variables, Amuse deployed Sigma Computing’s cloud-native analytics platform (Sigma) to build a self-serve data stack and make real-time metrics accessible across the company.

Using Sigma Computing integrated with their Snowflake data warehouse and Fivetran pipelines, Amuse automated daily reporting, enabled nontechnical teams to run ad-hoc analyses, and optimized delivery windows and labor planning. The Sigma Computing implementation drove measurable impact: a 30% reduction in cost per delivery, a 20% drop in customer acquisition cost (CAC), and faster, data-driven decision making across finance, operations, and marketing.

Amuse

Alex Becker

Co-founder and CRO