One of the smartest investments a business can make? Technology that drives faster operations, quicker shipments, and happier customers.
Amazon has made innovation through technology a priority for decades, or rather since the start. Being an online retailer came with mass aggregate data on shopper behavior. Data that could then help build algorithms to maximize sales by developing smarter, faster logistics at scale. That penchant for innovation and appreciation for tech have since extended to every new arm of the Amazon business, including supply chain.
Amazon has spent years investing in advanced technology—including AI and automation—to strengthen supply chain operations from first mile to last. Operational systems that contribute to successfully delivering over 13 billion items each year; items that make their way to customers with speed and trust. Amazon delivers this reliability at scale, with a 96.4% average on-time delivery rate1 for all Multichannel Fulfillment—Amazon’s pick, pack, and ship service across sales channels—orders, and an undamaged package rate of 99.9%.2 It’s become a core differentiator in enabling Amazon to offer faster, more reliable end-to-end logistics solutions and an unmatched customer experience.
The magic behind the mechanisms? A thoughtful approach that pairs automation with human judgment—not one that replaces it. People and performance technology work together to bring care and precision to every step of the pick, pack, and ship process. Now, that innovation is available to all businesses and all their sales channels through Amazon Supply Chain Services (ASCS)—bringing the same logistics network and technology fueling Amazon to help simplify operations, boost efficiency, and scale with confidence.
Learn how those investments come to life across Amazon’s fulfillment network and how they help businesses of all sizes operate more efficiently.
Placement precision
Amazon operates more than 200 fulfillment centers across the US. Those facilities are strategically located to support a regionalized distribution network, so when a customer places an order, products are likely to ship from a nearby location rather than three states over.
AI proactively predicts, then places, inventory in those fulfillment centers based on where a product is likely to sell. It also analyzes historical demand trends for existing products—more than 400M SKUs and counting—and data from similar items to help identify where new listings should be positioned.
This upfront planning helps ensure Amazon delivers fast consistently, not just occasionally, thanks to shorter last-mile distances. These shorter distances also mean a smaller carbon footprint for end delivery.
Fulfillment efficiency
Amazon’s facilities come with serious square footage. To cover that ground, Amazon deploys more than one million robots to help cut down on travel time for employees and ensure an even safer working environment. These robots dynamically move inventory around the warehouse, delivering items right to employees on mobile shelves, limiting time spent walking to different areas of the facility, and reducing physical strain.
For added consideration of the physical impact on employees, fast-selling products are automatically placed in the most accessible locations—typically waist-height—for quicker picks and faster fulfillment. That’s less bending and reaching with each order, another important investment in employee safety.
The use of robots throughout these spaces also helps shave off the total time spent fulfilling an order, sometimes up to fifteen seconds per item, which is considerable when you factor in Amazon’s delivery of over 13 billion items each year.
Order optimization
Right up until a product leaves the fulfillment center, associates and automation tools account for speed, cost, environmental impact, and more to determine the best approach for each order. These systems fine-tune everything from box size to tape length. Even carrier type is determined by the ideal balance of cost and speed to ensure on-time delivery.
Amazon facilities also combine human expertise with performance technology to anticipate disruptions and catch damaged items before they affect shipments. Machine learning mechanisms paired with hands-on quality checks drive better order accuracy, meaning fewer damaged items, fewer mispacks, and fewer returns.
Faster—and more reliable—shipments
Optimization continues as orders make their way out of fulfillment centers and onto delivery vehicles, providing businesses with full transparency into their inventory journey—including how its performing—from factory floor to customer door, without manual oversight.
Amazon then uses more than twenty machine learning models to understand the best delivery routes for drivers. If a certain road is closed or a route is experiencing more traffic than another, AI recalculates the ideal path for safety, speed, and reliability. Those algorithms are running right up until a package is loaded onto a van, continuously finding the fastest, most efficient route for drivers and customers alike.
Decades of tech, designed to deliver
Amazon’s advanced technology means different things for different groups. For employees, it means ergonomics and safety built into every process. For customers, it means better, more personalized product selection and faster speeds—getting what they want, when they want it.
These advancements make the difference between a customer’s best delivery experience and a missed birthday gift; a clear path to their doorstep and having to navigate dangerous roads; And ultimately, a business that scales or stays stagnant. Amazon continuously improves and evolves these systems, not only to provide the best experience to its own customers, but so businesses using ASCS can tap into the competitive edge that comes with technological innovation.
1Based on all worldwide orders placed and delivered between October 2024 and September 2025, and measuring the percentage of orders that were delivered on or before the estimated delivery date generated upon order confirmation.
2Based on all orders fulfilled by MCF in the United States from January 2023 through March 2024.
