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Controlled deliveries use tighter time windows plus orchestration and real-time recovery to keep delivery timing predictable and protect the customer experience as conditions change.

Scaling to more delivery providers adds coverage but it also adds variability, so the only way to protect CX is a centralized, AI-driven workflow that standardizes execution and automates recovery.

Learn how flexible rule engines in delivery management software help reduce overhead, adapt to shifting demand, and support real-time rerouting.

Sustainability and margin protection come down to the same levers, denser routes, higher first-attempt success, and faster exception recovery and AI agents help teams pull them in real time without adding manual work.

Performance tracking gives delivery teams the clarity to spot what’s breaking, understand why, and take the next best action to protect on-time performance, cost, and customer experience.

Learn how to build customizable last-mile delivery workflows that stay fast at scale by using readable rules, automation, and AI agents to handle provider selection, batching, and exception recovery.