Time: 12:00 Noon ET 

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THE OVERHEAD PROBLEM NOBODY TALKS ABOUT ENOUGH

According to the MHI and Deloitte Annual Industry Report for 2025, all five of the issues identified by industry experts as extremely or very difficult are based on the same core problem: fragmentation.

Inflation-driven costs at 38%, economic uncertainty at 37%, workforce and talent shortages at 35%, the need for greater agility and resilience at 28%, and inventory challenges at 25%; every one of these is made worse by a logistics infrastructure that isn’t integrated. ¹

The solution isn’t working harder within the current system. It’s replacing the system with something better.

The AI revolution that was once a future state has come sooner than expected by many organizations. Just 28% of companies are using AI in their supply chains at present, but 82% say that they will use it in the next 5 years. ¹

The gap between current reality and near-term expectation is enormous, and businesses that are still operating fragmented, manually-intensive supply chains will find that gap increasingly expensive to close.

THE INFRASTRUCTURE THAT CHANGED EVERYTHING

Amazon didn’t build its supply chain by accident. It built it because it had no choice; the scale of what Amazon needed to do had no precedent, and off-the-shelf solutions weren’t going to cut it. So they built their own. 

Fulfilment centres, robotic systems, carrier networks, demand forecasting algorithms, and inventory placement models, all of which were developed in-house, tested across billions of transactions, and refined continuously over more than two decades.

The result is a logistics infrastructure that operates at a level most businesses would never be able to build independently. And the defining shift of the last several years is this: Amazon has opened that infrastructure to everyone.

Amazon Supply Chain Services (ASCS) is the full suite of end-to-end logistics capabilities that Amazon has made available to businesses of all sizes, across all channels. Not just Amazon sellers. Not just large enterprises. Any business that moves physical products to customers.

The scope of what’s included is significant: Amazon Global Logistics for inbound transportation, Amazon Warehousing and Distribution for storage and replenishment, Fulfilment by Amazon for picking, packing and shipping, and Multi-Channel Fulfilment for orders that come from outside Amazon’s own marketplace. 

These services aren’t sold separately as disconnected products; they’re designed to work as a unified system, with shared data, shared inventory, and shared intelligence running across all of them simultaneously.

Accenture’s 2026 fulfilment analysis makes the case for what this kind of integration delivers in practice. Businesses that consolidate onto AI-driven, automated fulfilment networks can expect up to 22% lower warehousing costs, up to 20% greater productivity, and up to 15% higher inventory accuracy compared to manually-operated, fragmented alternatives. ²

These aren’t theoretical improvements; they’re outcomes that come from replacing overhead with infrastructure.

WHAT AUTONOMOUS SUPPLY CHAINS ACTUALLY LOOK LIKE

According to Gartner, the year 2026 brought out one very unique and intriguing research paper in March. The report indicated that 60% of all supply chain disruption incidents will happen in 2031, but would be sorted out without any human intervention at all. This is not to say that man will not have a part to play; rather, AI will sort them out better than humans could. ³

A survey of 509 supply chain leaders from October 2025 identified AI and agentic AI-driven changes as the single most influential driver of future supply chain performance over the next two years. 

ASCS is built on exactly the kind of AI and automation capability that Gartner is describing. Amazon’s systems continuously optimize inventory placement across its fulfillment network, determining not just where to store products, but also anticipating where demand will emerge and positioning inventory accordingly. 

Replenishment is automated based on demand signals rather than manual review cycles. Route optimization for transportation happens in real time. Exception management, the category of supply chain work that consumes an enormous amount of operations team time, is handled automatically across the vast majority of scenarios.

For a business running on ASCS, this means something practical and immediate: your team stops firefighting and starts planning. The overhead that consumes their bandwidth shrinks. Decisions that require manual intervention get handled by the network. Energy that was going into managing logistics complexity gets redirected toward the things that actually grow your business.

Accenture’s analysis shows that AI-powered inventory rebalancing reduces stockouts by 35–45% and improves forecast accuracy by up to 40%, while automated reordering cuts manual logistics work by as much as 60%. ²

That last number is worth thinking about carefully. 60% of the manual work currently involved in managing your supply chain is handled automatically. What would your operations team do with that capacity?

THE ECONOMICS OF SCALE WITHOUT HEADCOUNT

One brand using ASCS doubled its year-over-year revenue without adding a single person to its operations team

That case study will be walked through in detail on June 16, what changed operationally, how the transition was managed, and what the measurable outcomes were. It’s the clearest illustration of what becomes achievable when you stop letting your logistics infrastructure set the ceiling on your growth.

The economics behind this outcome are straightforward. Traditional logistics scaling requires proportional investment; more volume means more warehouse space, more staff, more carrier relationships, more technology integrations. 

Every increment of growth comes with a corresponding increment of operational cost and complexity. This is the model that most businesses are currently operating on, and it’s the model that makes growth feel like a burden as much as an opportunity.

ASCS inverts that relationship. Because the network is built to absorb scale, additional volume doesn’t require proportional additional infrastructure investment from your end. The AI systems handle the increased complexity automatically. 

The carrier network has the capacity to absorb the additional throughput. The inventory optimization adjusts without manual intervention. Your team doesn’t grow because the network grows for you.

IDC’s research across more than 2,100 business leaders found that organisations investing in AI realise a mean return of $3.50 for every $1 invested, with 92% of AI deployments completing within 12 months and businesses seeing positive ROI within an average of 14 months of deployment. ⁴

For businesses considering ASCS, the investment case isn’t speculative; the data on AI-enabled logistics ROI is clear, consistent, and backed by real-world evidence at scale.

RESILIENCE IS THE COMPETITIVE ADVANTAGE NOBODY PLANNED FOR

The companies that have managed to thrive despite the supply chain disruptions in recent years weren’t always the biggest or the best capitalized – they were those whose logistical framework was adaptable enough to cope with changing conditions.

Supply chain leaders responding to Gartner’s October 2025 survey are already acting on this: the majority are either rapidly adopting agentic AI or plan to do so within two years, driven precisely by the resilience and speed advantages that autonomous supply chain management delivers.

Amazon’s logistics network was built with resilience as one of its core attributes. Its geographic dispersal among hundreds of fulfillment centers ensures that an outage at one center doesn’t affect the whole system.

Carrier diversity means that capacity constraints with one partner don’t create fulfilment gaps. AI-driven rerouting means that when conditions change, the network responds in real time rather than waiting for a human decision cycle to complete.

For businesses operating on ASCS, this resilience is inherited. You don’t have to build it yourself. You don’t have to negotiate it with multiple partners. You access it as part of the infrastructure, and when the next disruption arrives, and it will, your supply chain keeps moving while others are scrambling.

INSIDE THE WEBINAR: WHAT JUNE 16 COVERS

Here’s what the agenda covers:

ASCS service architecture in detail: The way Amazon Global Logistics, Warehousing and Distribution, FBA, and Multi-Channel Fulfilment interact to form an integrated service architecture rather than standalone products.

The real-world implementation of artificial intelligence and automation: Demand forecast, inventory placement, and exception management systems of Amazon, explained in layman’s terms without the fancy terminology.

The 2× revenue case study:  A real-world walkthrough of how one brand doubled year-over-year revenue without adding headcount, including what changed operationally and how the transition was managed.

First preview of the new ASCS console: A unified management platform for your entire supply chain account, getting one of its first public demonstrations on June 16.

Live Q&A with Mike Schaffer: Direct access to Amazon’s Principal for Technical Business Development on the Multichannel Commerce and Fulfilment team, available for your specific questions after the presentation.

FEATURED SPEAKER

Mike Schaffer leads technical business development for Amazon’s Multichannel Commerce and Fulfilment team. His work is primarily constraint-solving: he works directly with companies across sectors to understand how ASCS maps onto their existing operational structure, what the integration looks like in practice, and where the friction points are. He’ll take live questions after the presentation.

THE DECISION IN FRONT OF YOU

According to the report by MHI and Deloitte, 55% of the surveyed supply chain leaders are currently stepping up their investments in technology and innovation, where 60% have plans to invest more than one million dollars in the next year, and 19% plan to invest more than ten million dollars.  ¹

The industry is investing, and the businesses making those investments now are the ones that will be operating with a structural advantage in two, three, and five years.

The decision in front of you isn’t whether to modernise your supply chain. The question is when, and with what. Spending an hour on June 16 to understand what Amazon has built, what it costs, how it integrates, and whether it’s right for your business is the most efficient possible use of that decision-making time.

Register now. It’s free and it might be the most operationally consequential conversation you have this quarter.

REGISTER NOW

Date: Tuesday, June 16, 2026 

Time: 12:00 Noon ET 

We’ll see you on the 16th.

REFERENCES

1. Gartner (2026) Gartner Predicts 60% of Supply Chain Disruptions Will Be Resolved Without Human Intervention by 2031 [Press release]. 18 March. Available at: https://www.gartner.com/en/newsroom/press-releases/2026-03-18-gartner-predicts-60-percent-of-supply-chain-disruptions-will-be-resolved-without-human-intervention-by-2031 (Accessed: 29 May 2026).
2. Horvath, R. (2026) ‘A targeted AI approach to maximizing value in fulfillment’, Accenture Supply Chain Blog, 5 February. Available at: https://www.accenture.com/in-en/blogs/supply-chain/maximize-value-ai-fulfillment (Accessed: 29 May 2026).
3. Jyoti, R. and Schubmehl, D. (2023) The Business Opportunity of AI: How Leading Organizations Around the World Are Using AI to Drive Impact Across Every Industry [IDC InfoBrief, IDC #US51364223, sponsored by Microsoft]. Needham, MA: International Data Corporation. Available at: https://static1.squarespace.com/static/5ffd6f883ff3ea0604bd4aea/t/65bb4dadd450c37f5834f0c0/1706773952738/IDC+AI+Report.pdf (Accessed: 29 May 2026).
4. MHI and Deloitte (2025) The Digital Supply Chain Ecosystem: Orchestrating End-to-End Solutions — 2025 MHI Annual Industry Report. Chicago: MHI. Available at: https://www.businesswire.com/news/home/20250319048739/en/New-MHI-and-Deloitte-Report-Focuses-on-Orchestrating-End-to-End-Digital-Supply-Chain-Solutions (Accessed: 29 May 2026).