Manufacturers and distributors face tough realities related to the convergence of rising customer expectations and higher operational costs. Although many organizations rely on finance-centric ERPs and manual intervention to bridge the gaps, this approach is unsustainable in a modern unified commerce environment.

Businesses using outdated technology run the risk of phantom margin loss, which refers to hidden profit erosion due to cost-blind fulfillment decisions and workarounds that distort gross margin reporting (e.g., choosing a fulfillment option with high carrier costs, or adding manual exceptions that increase cost-to-serve).

Forward-looking manufacturers and distributors are addressing this concern by augmenting ERPs and manual processes with commerce and order management platforms that enable centralized, real-time decision-making. Businesses that adopt these solutions benefit from knowing true cost-to-serve — including inventory on hand, handling efforts and service level commitments — to avoid upcharges for things like expedited freight, split shipments and out-of-area delivery.

By orchestrating these insights across functions and channels, companies can unlock new levels of operational agility and responsiveness that progresses businesses from slow-batch processes to dynamic, event-driven workflows. When augmented with agentic AI that can autonomously monitor signals, simulate scenarios and optimize decision-making, they continuously improve fulfillment, pricing and service offerings at scale.

Close Gaps with Unified Commerce Platforms

Across industries, many businesses contend with blind spots in their operational processes.

For example, a roofing supplies distributor might struggle with managing inventory across multiple distribution centers. Without real-time insight into available stock at specific centers, surprise stockouts can result in costly emergency freight charges. At scale, this can result in significant margin erosion.

Using an order management platform, a distributor can consolidate inventory visibility into a single source of truth and set up rules-based safety stock for each location to ensure undisrupted availability.

Or a distributor of industrial parts that manages thousands of SKUs with unique pricing rules might be dealing with inefficiencies associated with sales reps who are keying in quotes and manually checking contract terms, leading to stalled deals.

In this case, a commerce platform can facilitate access to a self-service portal, allowing buyers to view their contract prices without the need to contact their representative for every quote.

For a cosmetics business that’s looking to scale quickly into new markets, the lack of formal order protocols might make international expansion difficult, especially when returns are handled manually.

Leveraging unified systems that can manage both one-time purchases and ongoing subscriptions simultaneously, reverse logistics tools can route the items back to the appropriate facility based on their condition; this automation can enable year-over-year growth without increasing customer service headcount.

Leverage Agentic AI

There’s no question agentic AI is reshaping eCommerce by enabling a move from rigid, reactive technology pipelines to flexible, proactive systems of intelligent AI agents. Unlike traditional AI, these agents are highly adaptive, goal-driven and capable of taking initiative on their own accord. Because they’re context-aware, AI agents can initiate actions independently to pursue defined business outcomes such as driving conversions and optimizing inventory.

Overall, the biggest differentiator is autonomy. Whereas traditional AI requires frequent retraining and explicit instructions, agentic AI adapts its actions on the fly, interacting with multiple systems and external APIs and learning from its own interactions. By harnessing the built-in initiative and adaptability of AI agents, eCommerce businesses position themselves to compete and scale in a marketplace where speed and operational excellence are paramount.

Agentic AI is improving eCommerce business outcomes by autonomously optimizing key functions such as fulfillment, merchandising, customer experience and supply chain management. This intelligent automation enables eCommerce businesses to operate faster, reduce costs, and deliver seamless shopping experiences at scale.

For example, agentic AI is transforming supply chain management by autonomously optimizing complex workflows in real time. The technology continuously monitors diverse data sets — from supplier performance records to weather and traffic conditions to customer demand and returns — to improve forecasting, logistics planning and inventory management. AI agents proactively detect risks and disruptions (e.g., equipment failures or supplier delays) and swiftly execute mitigation strategies including rerouting shipments, adjusting production schedules, and leveraging dynamic sourcing. This adaptive approach improves supply chain resilience and responsiveness while reducing costs.

Achieve Strategic Advantage

Early adopters of agentic AI for eCommerce report up to 10% revenue growth, 40% improvement in sales productivity, 30% faster order fulfillment, and 50% reduction in customer support costs.

AI agents deliver strategic advantage for autonomous process optimization by combining continuous learning, adaptability, and end-to-end workflow automation. Unlike traditional AI automation, agentic AI can independently assess complicated situations, dynamically adjust to changing circumstances, and take goal-directed actions without human involvement. These agents integrate entire workflows across business systems — such as fulfillment, finance, customer service and IT — by auto-resolving issues, rerouting tasks and refining operations in real time. This results in fewer errors, faster process cycles and lower operational costs.

Real-time predictive analytics deliver strategic advantage by continuously gathering and analyzing diverse data sets to forecast trends and events accurately. This capability is particularly valuable for supply chain operations, such as demand forecasting, inventory optimization and risk management. By processing data streams from sources like shipment tracking, social media sentiment and market trends, AI agents autonomously execute corrective actions instantly. This leads to faster response, higher customer satisfaction, and timely deliveries. Ultimately, it’s about making forward-looking decisions faster.

Omnichannel integration ensures seamless coordination across sales channels (e.g., online, in-store, and third-party platforms). AI agents can unify inventory, order processing and fulfillment systems to provide up-to-the-minute visibility into stock levels to prevent overselling and stockouts. Centralized order management systems automate processing and optimize routing for every purchase channel, enabling customers to benefit from flexible fulfillment options such as curbside pickup and ship-from-store. This cohesive approach increases sales opportunities and streamlines operations for efficiency, responsiveness and strategic advantage.

Scalable cost savings translate into competitive advantage when businesses automate and unify operations. By integrating things like inventory data and order management, eCommerce businesses optimize stock levels, reduce redundancies and minimize errors. Automation of routine processes cuts labor costs and enables fast, error-free execution at scale. This unified approach improves efficiencies, sustains profitability and empowers organizations to grow market share and outpace competitors without increasing overhead.

Implement Responsible Innovation

Ethical use, data privacy and solid guardrails are essential for agentic AI. These systems should operate within boundaries established by organizational policy and human oversight — this ensures adherence to privacy laws, data protection and misuse. Well-defined protocols help maintain transparency, accountability and fairness, ensuring parties act responsibly while reinforcing trust and company values.

When unified commerce platforms are paired with responsibly governed agentic AI, businesses can scale autonomous decision-making with confidence, knowing that every action aligns with regulatory requirements and brand principles.