The retailers and logistics providers that dominate this peak season won't be the ones with the biggest budgets or the most warehouses. They'll be the ones who recognized and fixed a series of operational vulnerabilities before order volume tripled.

Following are the six mistakes present in most fulfillment operations right now, along with strategies to keep them from quietly undermining your performance targets between now and January.

The Frankenstack Fix

Walk into most fulfillment operations today and you'll find a truth that nobody wants to admit: Critical business systems are held together with digital duct tape. Orders flow from Shopify into a custom middleware layer, trigger a manual data export to the warehouse management system, require someone to reconcile inventory in a spreadsheet, then push updates back to the enterprise resource planning system — all while customer service operates from a completely different (and often unreliable) data set.

This fragmented approach creates systematic failure points rather than redundancy.

During normal operations, these manual handoffs create inefficiency. During peak season, they create a catastrophe. When order volume triples overnight, every manual trigger becomes a breaking point. One delayed data transfer cascades into hundreds of orders stuck in limbo. Your team spends Black Friday troubleshooting integrations instead of fulfilling orders.

Top retail and third-party logistics performers are adopting WMS systems with pre-built integration frameworks that eliminate the need for custom development. New channels, carriers, and tools now connect in days rather than quarters — building modern platforms that scale with opportunity rather than constrain it.

The Box That Ate Your Budget

Here's a question most supply chain leaders can't answer accurately: What percentage of your shipping costs comes from avoidable dimensional (DIM) weight charges?

The standard approach — grab whatever box fits and move on — seems expedient until you calculate the damage. A 12x9x6 box for a product that could ship in a 10x8x4 envelope. Extra dunnage because nobody optimized the fill. These decisions compound across thousands of daily shipments, resulting in six-figure quarterly losses.

With major parcel carriers implementing rate increases averaging 4% to 9% in 2025, every oversized package costs significantly more. Leading operations teams are implementing algorithmic carton-optimization systems that calculate optimal packaging dimensions for every order. Right-sizing boxes can offset carrier rate increases while improving sustainability and customer satisfaction.

The Phantom Inventory

Inventory accuracy sits at the heart of every supply chain promise. Tell a customer you have their product in stock, then discover you don't, and you've just traded a sale for a reputation problem. Yet many operations still rely on periodic physical counts performed with clipboards and spot-checks, a methodology designed for a different era of retail.

Manual counting remains fundamentally incompatible with modern retail velocity. By the time your team finishes counting Zone A, Zone B has processed 50 orders and received three inbound shipments. Your "accurate" count is obsolete before you enter it into the system.

A 2025 Peak Season Report shows that 88% of successful operations cross-train workers to maintain operational intelligence during demand surges. But cross-training only works when systems support it. If new team members can't trust inventory data, their training becomes guesswork.

Leading operations have shifted from asking "how often should we count?" to "how do we ensure our system always knows where everything is?" The answer: perpetual, system-directed inventory management with cycle counting embedded into daily operations, automated variance triggers, and real-time visibility. Organizations achieving 99%+ inventory accuracy operate within systems that set accuracy as the default.

The Vanishing Order

Say that a customer places an order on Tuesday, expecting a Friday delivery. By Thursday, they've called three times, spent 15 minutes on hold, and still can't get specifics beyond "processing." Friday arrives without the package. The customer cancels, posts a negative review, and shops elsewhere next time.

This scenario represents the standard experience for operations lacking real-time order visibility. When order volume doubles during peak season, routine "where's my order?" inquiries explode, inundating service teams that should be handling complex issues and building customer relationships.

The solution: Eliminate routine inquiries through self-service order tracking directly within your WMS. Customers should see exactly where their order is, when it will arrive, and what actions they can take without contacting support. This shifts service teams toward high-value engagement, proactive problem resolution, and relationship-building that drive repeat business.

The Spreadsheet Curse

If your financial planning involves downloading data from multiple systems into Excel, manually reconciling discrepancies, and then distributing weekly reports via email, you're doing data archaeology, not financial analysis.

Spreadsheet-based modeling persists because it's familiar and flexible. But that flexibility has hidden costs: silent formula errors, impossible version control, and strategic decisions based on last year's data instead of real-time information.

The research is clear: Only 8% of successful supply chain leaders still absorb costs to maintain pricing, while 76% implement selective price increases and 70% use dynamic pricing strategies. This financial agility requires real-time cost tracking across facilities, instant visibility into carrier rates, automated margin calculations by customer segment, and on-the-fly scenario modeling — capabilities spreadsheets can't deliver.

Modern financial modeling demands a single source of truth that unifies operational and financial data. When inventory movements, labor costs, and fulfillment expenses flow automatically from the WMS into financial analysis, you eliminate reconciliation delays and enable the strategic agility of peak season demands.

The Forecast from the Crypt

Using last year's forecast to plan this year's inventory is like using previous year's weather to decide what to wear today. You're going to get soaked when conditions change.

The market dynamics in 2025 bear little resemblance to those in 2024. Shifting political policies, evolving consumer preferences toward domestic products, extended decision cycles, and heightened price sensitivity have fundamentally altered demand patterns. Seventy-six percent of shoppers are taking longer to make purchase decisions, while 68% spend less overall — structural changes that invalidate historical patterns.

Advanced demand planning now incorporates real-time market signals, economic indicators, competitive intelligence and customer behavior patterns. Leading operations forecast continuously, adjusting inventory positioning and allocation as new information emerges. Thirty percent of supply chain leaders now prioritize multi-region supplier management and risk assessment because single-source forecasting has become unreliable. Build flexibility into your forecast; your peak season success depends on it.

These six vulnerabilities share a common thread: They're symptoms of operating with supply chain systems designed for a different era of retail. Eighty-four percent of leaders expressed confidence about this peak season. They’ve built operational foundations that perform under pressure, eliminating manual integration dependencies, automating packaging optimization, establishing real-time inventory accuracy, providing customer self-service, unifying financial and operational data, and implementing responsive demand planning. 

Todd Craig is chief marketing officer with Deposco.