Artificial intelligence has become foundational to omnichannel supply chain operations, according to new research from the MIT Center for Transportation and Logistics (MIT CTL). The 2026 State of Supply Chain Omnichannel Report reveals that companies are embedding AI across fulfillment, inventory management, and customer experience to manage rising complexity, deliver faster services, and maintain profitability as e-commerce scales globally.
The research was conducted by the MIT Omnichannel Supply Chain Lab, directed by Dr. Eva Ponce with research support from Laura Allegue.
Omnichannel Growth Demands AI Integration
The omnichannel report finds that 81% of organizations are experiencing ongoing e-commerce growth, with 60% now implementing full omnichannel distribution strategies—a 10-percentage-point increase year-over-year. However, this expansion comes with mounting operational pressures.
"Customer are asking for faster deliveries, but not only faster deliveries, more reliable deliveries," said Dr. Ponce in a recent episode of the MIT Supply Chain Frontiers podcast. "This, from the operational side, requires much more precision."
The challenge is multifaceted: companies must manage more SKUs and fragmented orders across multiple fulfillment channels, maintain real-time inventory visibility, handle rising return rates (up to 40% in sectors like fashion), and allocate inventory dynamically across online and offline channels. These pressures have made AI adoption a strategic imperative rather than an optional capability.
AI Expanding Across Core Omnichannel Functions
The report shows AI is no longer isolated to single functions but is increasingly embedded across the supply chain backbone:
- Customer Experience (64%): AI-powered personalization through LLM chat tools (48%), GenAI copilots (41%), and personalized product recommendations (66%)
- Demand Forecasting (63%): Leveraging machine learning models to predict demand volatility across channels
- Warehouse Management (61%): Optimizing picking, routing, and fulfillment workflows
- Inventory Management (60%): Using AI to allocate inventory across fragmented networks and improve accuracy
- Transportation & Fulfillment (58% and 56%): AI-driven orchestration of multi-channel fulfillment decisions
This year's key shift is the expansion of AI focus beyond demand planning toward warehouse operations, inventory management, and transportation, reflecting the industry's move from building basic omnichannel capabilities to optimizing for profitability and performance.
Personalization Driving Supply Chain Precision
AI-enabled personalization is reshaping operational requirements. The report finds that 69% of organizations are using AI for personalized marketing campaigns, 66% for product recommendations, and 66% for customer segmentation (up from 37% last year).
However, personalization comes with supply chain implications: 65% of respondents report increased need for real-time product availability, and 63% cite higher inventory accuracy requirements. Additionally, 51% report increased restocking frequency and 45% face higher SKU complexity per order.
Notably, 35% of organizations indicate that AI-enabled personalization tools (such as virtual try-on experiences and fit prediction models) are helping reduce return rates, offering meaningful financial relief in an area where online returns run 20% higher than traditional retail.
From Strategy to Execution: The Real Challenge
While omnichannel strategies are now mainstream, execution remains the primary challenge. The report identifies channel integration (51%) and fulfillment decisions (50%) as top strategic challenges. Operational pain points are evenly distributed across inventory positioning (53%), demand planning (53%), and logistics costs (53%).
What's notable is the evolution in priorities. "Last year, companies were investing more in visibility, in automation, in the actual infrastructure," said Ponce. "However, this year, they are investing more in AI tools that try to enhance, optimize this network performance from the end-to-end supply chain."
Automation Scaling to Match Demand Volatility
Autonomous mobile robots (AMRs) are emerging as a critical enabler for omnichannel operations, with 63% of respondents citing them as highly relevant, up from 50% last year. Multi-shuttles saw even steeper adoption growth, rising from 14% to 56% year-over-year, signaling accelerated adoption of goods-to-person automation.
Real-time inventory management solutions are considered highly relevant by 59% of respondents, reflecting the non-negotiable requirement for synchronized inventory visibility across multiple channels and fulfillment nodes.
"E-commerce is bringing high volatility, and autonomous mobile robots are bringing flexibility," said Ponce. "AI is bringing the intelligence needed to orchestrate these systems intelligently in a human-machine environment."
Workforce Evolution and Upskilling
As AI adoption expands the warehouse and fulfillment workforce while shifting roles toward higher-value activities, there is a need for training the workforce for these new roles. Companies are increasingly investing in upskilling programs to build internal expertise in AI, data analytics, and omnichannel orchestration.
The report emphasizes that competitive advantage increasingly depends on organizational capability—specifically, the ability to combine advanced technology, data quality, and human expertise. As Ponce notes, "The ability to combine technology, data, and human expertise will define the next generation of high-performing omnichannel supply chains."
The Path Forward
As e-commerce continues to reshape retail and logistics, the omnichannel report makes clear that AI is no longer optional. Organizations that fail to embed AI across inventory management, fulfillment orchestration, and customer experience will struggle to compete on speed, accuracy, and cost.
The research points to three critical priorities for supply chain leaders in the coming year: (1) focus investments on areas with proven ROI, starting with inventory accuracy and fulfillment optimization; (2) prioritize real-time inventory visibility and accuracy as non-negotiable capabilities; and (3) invest in workforce upskilling to understand and manage AI tools effectively.
You can read the full 2026 State of Supply Chain Omnichannel Report here.
