June 4, 2024

Inventory Management Best Practices to Cater to Seasonal Demand

Addressing seasonal demand is a major challenge for both emerging and established businesses.

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Inventory Management Best Practices to Cater to Seasonal Demand

Addressing seasonal demand is a major challenge for both emerging and established businesses. During periods of heightened consumer activities like holidays, businesses need enough stock to meet high customer demand. However, seasonal sales aren't limited to traditional holidays; various weather conditions, sports seasons, and special occasions like Valentine's Day, Mother's Day, and Father's Day also result in an increase in seasonal sales.

Businesses frequently face tough decisions when it comes to meeting seasonal demand. One option involves committing to a year-round storage and fulfillment contract and paying for extra space during off-peak seasons. Another choice is to develop strategies that help in coping with fluctuating periods. However, an optimal solution is using on-demand warehousing, which allows businesses to scale their storage and fulfillment needs up or down as required. This approach helps manage seasonal inventory efficiently without overextending resources or paying for unnecessary storage.

Read on to learn about proven inventory management practices that can help you run your business operation smoothly.

1. Forecasting Customer Demand

Demand forecasting is a crucial technique in e-commerce inventory management. It involves predicting future product demand by examining historical data, market trends, and other pertinent factors. Accurate forecasting helps optimize stock levels, reduce holding costs, and ensure a responsive supply chain.

For example, a fashion retailer preparing for the winter season can use demand forecasting to analyze past winter sales data. By identifying popular items and predicting higher demand for winter coats, the retailer can adjust inventory levels accordingly. This means ordering more coats in advance and planning marketing campaigns to meet the anticipated demand. It helps avoid stockouts and improve inventory turnover.

Demand forecasting involves:

  • Historical Data Analysis
  • Market Research
  • Statistical Models
  • Collaboration

Additionally, digital twin technology creates virtual replicas of products or systems to simulate scenarios and understand how changes might affect demand. It enhances the accuracy of demand planning.

2. Incorporating Predictive Forecasting

Predictive forecasting needs to be included by identifying causal factors that impact future demand. This approach allows for more accurate anticipation of demand shifts, ensuring inventory levels are optimized to meet market needs. Predictive forecasting considers market trends, economic indicators, weather patterns, and consumer behavior, providing a comprehensive view beyond past sales data.

3. Supplier and Procurement Management

Effective procurement and supplier management are crucial for timely deliveries of seasonal products. Coordinate with suppliers to negotiate prices and secure stock before peak seasons. Open communication ensures smooth planning and avoids surprises.

You can plan by ordering seasonal merchandise early or setting reorders based on supplier lead times, sales rates, and seasonal demand. Continuously monitor sales performance and inventory levels in real time to determine safety stock levels and prevent stockouts during high-demand periods. By staying proactive, you can ensure that you always have the right amount of stock to meet customer needs.

4. Determine the Lead Times of the Products

Knowing the lead times for your products is crucial for decision-making. When lead times are long, you must place your orders well before the busiest sales time. When lead times are short, meaning products arrive quickly after ordering, you have more freedom to adjust your orders based on sales during the peak season.

Even if lead times prevent reordering from the original supplier, you might find a closer alternative. Understanding product lead times helps manage inventory effectively and respond to changes in demand.

5. Safety Stock Management

Safety stock management involves keeping extra inventory beyond expected demand to protect against unexpected changes in demand or supply chain disruptions. With this extra stock, you can ensure that the products are always available when needed.

The key benefits of safety stock management are:

  • Identifying risks
  • Calculating safety stock levels based on variability in demand and lead times
  • Continuously monitoring inventory
  • Triggering replenishment orders as needed to keep the supply chain running smoothly

6. Planning Inventory Purchases Early

To avoid supplier delays and stockouts, planning your inventory purchases ahead of time is crucial. Waiting too long can cause issues during peak seasons while ordering too early can tie up your money in unsold inventory. Analyze past sales and trends to predict future demand, build good relationships with suppliers to know their lead times, and use forecasting tools to decide when to order. With proactive planning, you can ensure your products arrive when needed most.

7. Determine Seasonal Demand Timelines

Understanding the timing of seasonal demand is crucial for effective planning. Shorter occasions, like Valentine's Day, require stocking up in advance since there is an increase in demand on specific days. Longer seasons, like summer, allow for multiple restocks over several months.

Maintaining accurate inventory across all sales channels is essential. If an item is out of stock, it should not appear available online. Communicate stock availability and expected restock times to prevent customer frustration and lost sales.

AI technology is beneficial for determining seasonal demand timelines, especially for subtle seasonal patterns or unexpected events. By analyzing past data, AI can predict demand for upcoming events. It helps businesses ensure smooth operations and maximizes sales opportunities even during unpredictable times.

AI technology is beneficial for determining seasonal demand timelines, especially for subtle seasonal patterns or unexpected events. By analyzing past data, AI can predict demand for upcoming events. It helps businesses ensure smooth operations and maximizes sales opportunities even during unpredictable times. In FMCG and retail, demand shaping is critical to accommodate seasonality, which helps determine your inventory strategy.

8. Streamlining the Order Management System

It is crucial to handle order fulfillment efficiently during peak seasons. Use an order management system to streamline tasks and ensure smooth operations. It helps track inventory, manage orders, and refill stock. Label products systematically to reduce errors in picking, packing, and shipping. This ensures the right items are sent to customers while improving satisfaction and reducing returns. By implementing these strategies, you can manage orders during busy seasons and provide a seamless shopping experience for your customers.

9. Building Strong Relationships with Suppliers:

Building strong supplier relationships is crucial for a smooth supply chain and customer satisfaction. It eliminates the risk of inventory delay, quality issues, and shortages, which can harm sales. Maintain clear and consistent communication with suppliers to avoid these problems. Share accurate forecasts and make timely payments to build trust and reliability. Strong supplier relationships often result in better terms and priority service, which can be beneficial, especially during peak seasons or sudden rises in demand.

About TADA:

TADA is the leader in Ultimate Command & Control for Supply Chains, enabling businesses to connect the siloed parts of their networks to deliver real improvements in cost, cash, carbon, and revenue. Powered by its proprietary, AI-enabled digital twin platform, TADA's solutions provide real-time visibility, actionable insights, and multi-enterprise collaboration and orchestration. TADA can close the gap between demand and supply within the execution/operation window by optimizing inventory planning, forward deployment, allocation, and management. Its capabilities in predicting stockouts, alerting excess inventory, and maintaining target inventory levels make TADA a differentiator in the market.

Conclusion:

Understanding how seasonal inventory works is essential for businesses to choose the right inventory control strategies. Forecasting, purchasing, and replenishment methods should vary based on the season and product type. The goal is to maintain enough stock to meet demand without ending up with excess unsold inventory after the season ends. Keep an eye on sales, and if some items aren't selling as expected, start offering discounts a few weeks before the season ends to clear out seasonal inventory.