Case Study: Atomix Optimizes Shipping Decisions and Cuts Costs with Shipium

Atomix improves shipping decisions with Shipium to optimize carrier selection and cut costs

atomix, a tech-led fulfillment provider for high-growth brands, faced significant challenges in meeting its customers' high expectations for shipping. They needed to improve the speed-versus-cost trade-off, guarantee more accurate on-time delivery, and offer highly customizable shipping configurations across a broad carrier network without slowing down their operations. To address this, atomix turned to the vendor Shipium and its AI-native shipping platform.

By implementing Shipium's solution, atomix gained access to ML-powered transit time predictions for improved on-time delivery and a sophisticated rating engine that calculates fully-loaded costs. This allowed for more dynamic and cost-optimized carrier selection. Furthermore, Shipium provided the breadth and easy management of carriers atomix required to scale efficiently. As a result, atomix improved pricing for its customers, streamlined its operations, and reinforced its commitment to being a data-driven, customer-centric fulfillment partner.

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