That's a counterintuitive but crucial point in supply chain and operations management. While large orders dominate volume and revenue, smaller orders often demand more intensive control per unit due to their unique characteristics and cumulative impact. Here's why:

• Processing & Handling: The cost to pick, pack, label, ship, and invoice a small order (e.g., 1 item) can be a significant percentage of the order value. For a large order (e.g., 100 items), this cost is amortized across many units. Tight control is needed to minimize these high fixed costs per small transaction.
• Shipping: Small orders rarely fill a truck or container efficiently. Shipping costs per unit can be disproportionately high. Control involves optimizing shipping methods (consolidation, zone skipping, carrier selection) and negotiating better rates based on aggregate small order volume.

2. Increased Complexity & Error Potential:

   • Volume & Frequency: There are simply more small orders to manage. More orders mean more opportunities for errors in picking, packing, labeling, invoicing, and shipping. Tight control systems (automated picking, barcode scanning, double-checks) are essential to maintain accuracy across the high volume.
   • Diversity: Small orders often come from a wider range of SKUs (Stock Keeping Units) compared to large, bulk orders. Managing this diversity requires robust inventory tracking and picking systems to ensure the right small item is selected.

3. Erosion of Margins (The "Death by a Thousand Cuts"):

   • Invisible Costs: The high per-unit transaction costs mentioned above can silently erode profit margins on individual small orders. Without tight control and visibility into all costs (including handling, shipping, payment processing fees), these losses go unnoticed until they aggregate significantly.
   • Discount Pressure: Small orders often come from price-sensitive customers (e.g., individual consumers, small businesses). Controlling costs is vital to maintain profitability even with lower per-unit prices.

4. Inventory Management Challenges:

   • Fragmented Demand: Small orders often represent fragmented, unpredictable demand patterns. This makes forecasting harder and increases the risk of stockouts for specific SKUs or overstocking others. Tight control requires sophisticated demand sensing and inventory optimization.
   • Storage & Handling: Managing a vast number of different small items efficiently in a warehouse requires optimized slotting (placing fast-moving small items in easily accessible locations) and efficient picking strategies (wave picking, zone picking) to minimize travel time and cost.

5. Supplier & Logistics Complexity:

   • Many Suppliers: Fulfilling many small orders often involves sourcing from a larger number of suppliers, each with their own lead times, quality standards, and minimum order quantities (MOQs). Control is needed to manage this complexity, ensure on-time delivery, and maintain quality across the board.
   • Last-Mile Delivery: Small orders are the primary drivers of costly last-mile delivery complexity. Control involves optimizing delivery routes, using appropriate carriers (including local couriers), and potentially implementing pickup options.

6. Risk Amplification:

   • Supplier Failure: If a critical supplier for a small component fails, it can halt production for many end products, even if the component order itself was small. Control requires diversification and monitoring of critical small-item suppliers.
   • Quality Issues: A defect in a single small component can cause a larger failure in an assembled product. Tight quality control on incoming small items is paramount.
   • Theft & Loss: Small, high-value items are more susceptible to theft and loss during handling and shipping. Control involves security measures and robust tracking.

7. Customer Experience Impact:

   • Visibility & Speed: Customers placing small orders often expect fast delivery and full visibility. Delays or errors on a small order can be just as damaging to customer satisfaction as a large order failure. Control ensures processes are lean and reliable.
   • Returns: While per-item return costs might be lower, the frequency of returns for small orders (especially e-commerce) can be high. Control is needed to manage the reverse logistics process efficiently.

In essence:

• Large Orders: Benefit from economies of scale. Control focuses on bulk handling, transportation efficiency, and managing a few critical relationships. The risk per unit is lower.
• Small Orders: Suffer from diseconomies of scale. Control must focus intensely on minimizing per-transaction costs, managing high volume/complexity, preventing errors, maintaining margin visibility, and mitigating risks inherent in fragmentation and diversity. The cumulative impact of inefficiencies and errors across many small orders can be massive.

Conclusion: Neglecting control over small orders is a common pitfall. The high per-unit costs, error potential, margin erosion, and operational complexity mean that effective control over small orders is not just beneficial, it's essential for overall operational efficiency, profitability, and customer satisfaction. Investing in systems, processes, and strategies specifically optimized for small order management (consolidation, automation, supplier management, cost visibility) is crucial for businesses handling significant volumes of them.