Stord has developed a physical intelligence layer using AI and robotics to process more than 100 million packages per year [1].

This technological shift allows independent brands to compete with the delivery speeds and costs of large e-commerce platforms. By automating the handling process, the company seeks to disrupt a logistics sector that has remained largely unchanged for 40 years.

Jacob Boudreau, the CTO and co-founder of Stord, discussed the company's strategy in an interview with Forbes. He said the goal is to modernize the legacy logistics industry to improve the efficiency of next-day delivery. The integration of AI and robotics creates a system capable of managing high volumes while reducing the friction associated with traditional shipping methods.

Stord's approach focuses on creating a scalable infrastructure for brands that lack the internal resources to build their own global delivery networks. By leveraging this intelligence layer, companies can offer shipping experiences that mirror the speed of Amazon Prime without owning the entire supply chain.

The company is positioning itself as a critical alternative for businesses wanting to avoid dependence on a single dominant marketplace. This move targets the gap between traditional third-party logistics and the hyper-efficient systems used by the largest tech giants.

Boudreau said the focus remains on improving both speed and cost for the end consumer. The use of robotics reduces manual errors and increases the throughput of packages moving through the system [1].

“Stord has built a "physical intelligence layer" that uses AI and robotics”

The rise of AI-driven logistics platforms like Stord indicates a shift toward the 'democratization' of fast shipping. By providing independent retailers with the same technological capabilities as Amazon, Stord is lowering the barrier to entry for high-speed e-commerce, potentially reducing the market dominance of single-ecosystem giants.