Supply chain and transportation decisions are critical drivers of cost to serve, service reliability, and long-term network resilience. Stream helps clients evaluate how inbound materials, outbound distribution, logistics partners, and network design impact overall business performance. Our approach validates assumptions around freight cost, service levels, capacity, and scalability while accounting for real-world infrastructure and market constraints. By integrating supply chain analytics with operational and financial considerations, we help leadership teams design supply chain strategies that reduce risk, improve efficiency, and support sustainable growth.
We analyze sourcing locations, supplier networks, customer demand, and finished goods distribution to understand how product moves through the supply chain. This supply chain analysis focuses on total landed cost, lead times, and service implications across current and future operating scenarios.
Transportation modes including truckload, less than truckload, rail, intermodal, and port access are evaluated based on cost, capacity, reliability, and transit time. This transportation analysis supports supply chain optimization by balancing efficiency with resilience as volumes shift and markets expand.
We model transportation cost, variability, and service performance under alternative network configurations. Scenario analysis highlights tradeoffs between centralized and decentralized strategies, supporting long-term supply chain planning and risk management.
We evaluate third party logistics strategies to assess outsourcing versus in-house operations, network coverage, and service capability. Where appropriate, we lead and manage competitive 3PL procurement processes, including requirements definition, RFP development, bid evaluation, and commercial comparison, ensuring provider selection aligns with cost, service, scalability, and growth objectives.
We assess access to highways, rail, ports, and intermodal facilities to confirm sites and networks can support current operations and future throughput. Early identification of infrastructure constraints reduces execution risk and avoids downstream bottlenecks.
Supply chain assumptions are tested against volume growth, customer expansion, and evolving fulfillment requirements. This ensures transportation and logistics strategies remain viable as the business scales and market conditions change.
