Dynamic Capacity Can Improve Supply Chain Planning and Visibility

February 17, 2026 • 8 minute read
Author: Phyllis Jackson, Senior Manager, US Marketing, UPS

Key Points

• Dynamic capacity strategies can help wholesalers minimize supply chain disruptions, control rising costs and stay ahead of fast-changing customer demands.
• Predictive analytics technologies can help wholesalers increase forecast accuracy by 20%, reduce inventory costs by 15% and improve on-time delivery by 10%.⁷
• Flexible warehousing, route optimization and real-time inventory visibility can streamline last-mile logistics and cut delivery costs by up to 30%.⁵

Why Dynamic Capacity is Essential

Wholesalers and distributors face a perfect storm of challenges that test their responsiveness, efficiency and profitability. These constraints include supply chain disruptions, workforce shortages, rising operational costs, volatile demand, rapidly changing customer expectations and increasing competitive pressures. Compounding these difficulties is the growth of e-commerce and omnichannel retailing, which has made demand less predictable.

In this environment, there’s a greater possibility that static logistics models like traditional enterprise resource planning (ERP) systems and forecasting engines could break down. Prioritizing operational flexibility helps create a more resilient supply chain that can adapt to shifting patterns.

Dynamic capacity is becoming essential — enabling rapid scaling of inventory, labor, transportation and storage in response to shifting demand and evolving cost pressures.¹ Unlike fixed systems (such as set warehouse staffing or fixed truck routes), dynamic capacity lets wholesalers adjust labor, delivery fleets, warehouse space and inventory distribution among locations, all in real time.

“The supplier who delivers the fastest and adapts the smartest doesn’t just win the shelf — they win the customer’s trust,” says Charles Cawthorn, Strategic Lead, UPS. “That translates into repeat orders, better margins and a lasting competitive edge.”

Power Growth With Supply Chain Agility: Scale, Adapt, Deliver

A wholesaler’s dynamic capacity includes several interconnected elements that enable the business to scale, adapt and respond to changing inventory, logistics and labor conditions.² Think of it as a set of systems offering real-time operational agility. It allows wholesalers to respond effectively to market fluctuations, protect margins and meet commitments without overinvesting in fixed assets.

This is especially important in last-mile delivery, the most complex and costly part of the fulfillment process, often accounting for more than 50% of total shipping expenses.³ Dynamic capacity technologies and strategies help mitigate these costs by allowing wholesalers to scale, reroute and optimize deliveries on demand. They make last-mile delivery faster, smarter and more cost-effective, improving route optimization efficiency by up to 21%.⁴

Here are the core elements of dynamic capacity for wholesalers and distributors.

The Power of Flexible Warehousing

Wholesalers often face demand spikes, retailer service level agreements and inventory shortages or surpluses. Flexible warehousing enables businesses to adjust storage space and fulfillment services as needed, without being tied to long-term leases or owning physical infrastructure. It is a crucial component of dynamic capacity strategies, helping companies adapt to demand fluctuations, seasonality or disruptions with flexibility.

Components include:

• on-demand warehouse space
• shared warehouse networks with multiple clients under one roof
• temporary pop-up distribution centers
• partnerships with third-party logistics providers to handle some logistics and supply chain operations

Scale Every Mile: Intelligent Routing That Delivers Around Disruptions

Flexible transportation and routing strategies allow wholesalers or distributors to optimize delivery capacity and routes in real-time based on demand, geography and operational constraints. Solutions like the UPS suite of application programming interfaces (APIs) help companies meet tight delivery windows, lower costs and quickly respond to disruptions or spikes in demand without relying solely on fixed fleets or rigid schedules.

Flexible transportation models let wholesalers adjust their transportation resources — such as trucks, drivers and routes — by using a combination of national third-party carriers and on-demand driver networks. Dynamic routing systems powered by artificial intelligence (AI), GPS, sensors and real-time traffic data automatically create and modify delivery routes based on order volume, vehicle flows, weather, driver availability and customer time windows. These systems are essential for scalable transportation and last-mile logistics, and can cut delivery costs by up to 30%.⁵

Delivering Real-Time Visibility

Real-time visibility empowers wholesalers by delivering precise, current inventory levels and locations across their entire supply chain. An end-to-end integrated tech stack that syncs inventory levels across your entire fulfillment network and updates across all digital sales channels in real-time is essential for wholesalers that must fulfill orders quickly, avoid stockouts and meet tighter delivery deadlines.

Advanced reporting enabled by real-time visibility and an integrated tech stack turns static inventory data into actionable insights.

Unlock the Power of Predictive Analytics

Predictive analytics is a set of advanced data techniques that uses historical data, machine learning, statistical algorithms and AI to forecast future outcomes.⁶ These models analyze sales history, seasonality, weather patterns, distribution routes, promotions and external events to predict what products will be needed, where, and when. Supply chain predictive analytics systems are powerful dynamic capacity tools. They can increase forecast accuracy by 20%, reduce inventory costs by 15% and improve on-time delivery by 10%.⁷

Predictive analytics can help businesses make smarter, proactive decisions by identifying patterns and trends that suggest what’s likely to happen next. It enables dynamic capacity planning by helping wholesalers anticipate demand, optimize inventory, and coordinate transportation routes and warehousing resources in advance, before disruptions or spikes occur.

“Dynamic capacity is an essential differentiator in our always-on world,” Cawthorn explains. “As businesses race to meet retail and e-commerce demands, UPS provides wholesalers with the flexible logistics, technology and scale to deliver faster, capture market share, and boost bottom-line results — all while creating a seamless experience that keeps customers coming back.”

Agility Means Winning the Margins

Dynamic capacity strategies can help to safeguard margins in volatile markets by enabling wholesalers to adjust operations in real time, preventing underperformance and overspending. Instead of committing to fixed costs or rushing to catch up during demand fluctuations, dynamic capacity allows businesses to adapt smoothly and efficiently.

These models can help wholesalers avoid overstocking and stockouts, cut fixed warehousing and labor costs, prevent emergency logistics expenses and avoid chargebacks and retailer fines by meeting tight delivery deadlines with up-to-the-minute visibility.

Dynamic capacity can help wholesalers stay lean, responsive and profitable, protecting margins even in fast-changing conditions. Implementing strategies like flexible warehousing to optimize fulfillment costs, predictive analytics to improve efficiency and end-to-end visibility to unlock the power of owned data will help organizations future-proof their operational capabilities.⁸

¹ “Dynamic Capacity: The Next Big Thing CEOs Need to Care About (Or Do They?),” Medium, December 7, 2024.
² “Adaptive Warehousing Strategies for Real-Time Demand Fluctuations in Agile Supply Chains,” ResearchGate, March 2025.
³ “Dynamic Route Optimization in Last-Mile Delivery Using Predictive Analytics: A Case Study of E-commerce in the U.S.,” European Journal of Logistics, Purchasing and Supply Chain Management, October 14, 2024.
⁴ “Real-Time Route Optimization in Logistics: A Deep Learning Approach”.
⁵ “How to Leverage Real-Time Data for Smarter Route Optimization and Fleet Performance?” FarEye, March 26, 2025.
⁶ “UPS loves logistics … and analytics,” SAS, accessed July 7, 2025.
⁷ “Supply Chain Predictive Analytics: Transform Operations,” NILG.AI, June 2025.
⁸ “Top 80 Capacity Planning Statistics, Data & Trends in 2025,” 9cv9, May 12, 2025.

Individual results and options will vary. UPS makes no promises of any specific outcome in this document but instead provides only example outcomes based on certain UPS customer experiences.