To be efficient, logistics operations in e‐commerce require warehousing and transportation resources to be aligned with sales. Customer orders must be fulfilled with short lead times to ensure high customer satisfaction, and the costly under‐utilization of workers must be avoided. To approach this ideal, forecasting order quantities with high accuracy is essential. Many drivers of online sales, including seasonality, special promotions and public holidays, are well known, and they have been frequently incorporated into forecasting approaches. However, the impact of weather on e‐commerce operations has not been rigorously analyzed. In this study, we integrate weather data into the sales forecasting of the largest European online fashion retailer. We find that sunshine, temperature, and rain have a significant impact on daily sales, particularly in the summer, on weekends, and on days with extreme weather. Using weather forecasts, we have significantly improved sales forecast accuracy. We find that including weather data in the sales forecast model can lead to fewer sales forecast errors, reducing them by, on average, 8.6% to 12.2% and up to 50.6% on summer weekends. In turn, the improvement in sales forecast accuracy has a measurable impact on logistics and warehousing operations. We quantify the value of incorporating weather forecasts in the planning process for the order fulfillment center workforce and show how their incorporation can be leveraged to reduce costs and increase performance. With a perfect information planning scenario, excess costs can be reduced by 11.6% compared with the cost reduction attainable with a baseline model that ignores weather information in workforce planning.

This paper investigates the relationship between the inventory dynamics and long‐term stock returns of a large panel of U.S. manufacturing firms over the time period from 1991 to 2010. We propose two measures of inventory dynamics: one metric to assess the fluctuations of quarterly inventories within the year and a second metric to quantify relative year‐over‐year inventory growth. Our results indicate that within‐year inventory volatility (IV) and abnormal year‐over‐year inventory growth (ABI) are associated with abnormal stock returns. Both metrics cannot be entirely explained by common risk factors. We find that firms with high IV and low ABI have the best long‐term stock returns, and that stock performance decreases monotonically with higher ABI values. Our results are robust to various control variables including size, book‐to‐market value, industry and prior performance. We therefore conclude that changes in inventory levels provide valuable insights into the risks and opportunities faced by a company.

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Purpose The purpose of this paper is to identify the interplay between a firm’s financial situation and its inventory ownership in a single-firm and a two-firm perspective. Design/methodology/approach The analysis uses different secondary data sources to quantify the effect of both financial constraints and cost of capital on inventory holdings of public US firms. The authors first adopt a single-firm perspective and analyze whether financial constraints and cost of capital do generally affect the amount of inventory held. Next, the authors adopt a two-firm perspective and analyze the inventory ownership in customer-supplier relationships. Findings Inventory levels are affected by financial constraints and cost of capital. Results indicate that higher costs of capital are weakly associated with lower inventories. However, contrary to the authors’ expectations, firms that are less financially constrained hold less inventories than firms that are more financially constrained. Finally, the authors find that customers hold the larger fraction of supply chain inventory in supplier-customer dyads. Practical implications The authors’ results indicate that financial considerations generally play a role in inventory management. However, inventory holdings seem to be influenced only slightly by financing costs and inventory holdings between supplier and customer seem to be less than optimal from a financial perspective. Considering those financial aspects can lead to relevant financial advantages. Originality/value In contrast to other recent research, the authors study how the financial situation of a firm affects its inventory levels (not vice versa) and also consider inventories from a two-firm perspective.