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Last Mile Solutions (“LMS”) and Orchestro.AI Partner to Power Smarter E-Commerce Delivery Networks

LAGUNA NIGUEL, CA AND DUBLIN, CA / ACCESS Newswire / June 30, 2025 / Last Mile Solutions (LMS), a high-performance parcel carrier designed for e-commerce, and Orchestro.AI, a logistics intelligence platform transforming delivery decision-making, today announced a strategic partnership to build smarter, more adaptive shipping infrastructure for the modern commerce economy.

LMS operates a flexible, California-compliant logistics network serving high-growth sectors including meal kits, fresh produce, and traditional e-commerce. With consistent next-day service, LMS meets the rising demand for precision, speed, and regulatory alignment in complex urban, suburban, and rural environments across the U.S.

Through this partnership, LMS will embed Orchestro’s intelligence layer into its operations – enhancing network planning, market responsiveness, and decision velocity. Orchestro will also enable integration into third-party systems – including WMS, TMS, OMS, and CRM platforms – to streamline data exchange and execution across the supply chain.

The platform’s predictive capabilities allow LMS to adjust delivery operations based on live weather patterns, traffic disruptions, and localized risk signals such as theft or social unrest. These signals power near real-time communications with customers and help shippers reduce losses tied to delay, damage, and package theft.

The partnership enables LMS delivery stations to move beyond static dashboards and interact directly with their operational data – using conversational AI agents and augmented intelligence to make faster, smarter decisions in real time. Whether resolving a delivery exception or rerouting a driver, these tools bring intelligence to the edge of the network, where timing and context matter most.

“LMS delivers where legacy systems fall short – in sectors that demand both speed and precision,” said Doug Schwartz, CEO and Co-Founder of Last Mile Solutions. “This partnership gives us the visibility and intelligence we need to act decisively – while remaining committed to operational excellence and customer trust.”

Together, the companies will deploy solutions that help LMS grow its customer base, optimize delivery performance, and streamline operations across high-volume markets. The partnership also supports LMS’s expansion into a nationwide delivery network by orchestrating seamless collaboration with national and regional carrier partners – delivering consistent service, intelligence, and value at scale.

“We are architecting a new era of logistics – one where intelligence moves with the network,” said Shekar Natarajan, Founder and CEO of Orchestro.AI. “By partnering with carriers purpose-built for e-commerce, like LMS, we’re transforming how delivery happens at the edge: dynamic, data-driven, and tuned for the speed of modern demand.”

About Last Mile Solutions

LMS is a California-based parcel carrier built for the demands of modern commerce.

LMS Core: LMS’s proprietary next-day delivery network powered by our professional, uniformed, background-checked drivers in commercial delivery vehicles – faster delivery, better service, lower cost.

LMS Reach: LMS’s network of carrier partners, complementing LMS’s Core network to enable fast, cost-effective delivery to 100% of zip codes in the continental U.S.

LMS Lift: Revolutionary middle mile platform, enabling 2-day delivery to over 70% of the US population at rates cheaper than traditional 5-8-day ground competition.

LMS combines speed, regulatory compliance, and operational transparency across a flexible last mile delivery network.

For media inquiries, please contact:
Shekar Natarajan
shekar@orchestro.ai
www.orchestro.ai

About Orchestro.AI
Orchestro.AI is a logistics intelligence platform that turns shipping data, carrier agreements, and fulfillment workflows into real-time decisions. Its AI-driven tools help carriers, shippers, and store networks plan smarter, operate faster, and adapt dynamically to an evolving delivery landscape.

SOURCE: Orchestro.AI

View the original press release on ACCESS Newswire

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