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Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon
Many online retailers provide real-time inventory availability information. Customers can learn from the inventory level and update their beliefs about the product. Thus, consumer purchasing behavior may be impacted by the availability information. Based on a unique setting from Amazon lightning deals, which displays the percentage of inventory consumed in real time, we explore whether and how consumers learn from inventory availability information. Identifying the effect of learning on consumer decisions has been a notoriously difficult empirical question because of endogeneity concerns. We address this issue by running two randomized field experiments on Amazon in which we create exogenous shocks on the inventory availability information for a random subset of Amazon lightning deals. In addition, we track the dynamic purchasing behavior and inventory information for 23,665 lightning deals offered by Amazon and use their panel structure to further explore the relative effect of learning. We find evidence of consumers learning from inventory information: a decrease in product availability causally attracts more sales in the future; in particular, a 10% increase in past claims leads to a 2.08% increase in cart add-ins in the next hour. Moreover, we show that buyers use observable product characteristics to moderate their inferences when learning from others; a deep discount weakens the learning momentum, whereas a good product rating amplifies the learning momentum.
This paper was accepted by Serguei Netessine, operations management.
Journal Article
Coordinating Inventory Control and Pricing Strategies for Perishable Products
We analyze a joint pricing and inventory control problem for a perishable product with a fixed lifetime over a finite horizon. In each period, demand depends on the price of the current period plus an additive random term. Inventories can be intentionally disposed of, and those that reach their lifetime have to be disposed of. The objective is to find a joint pricing, ordering, and disposal policy to maximize the total expected discounted profit over the planning horizon taking into account linear ordering cost, inventory holding and backlogging or lost-sales penalty cost, and disposal cost. Employing the concept of
L
-concavity, we show some monotonicity properties of the optimal policies. Our results shed new light on perishable inventory management, and our approach provides a significantly simpler proof of a classical structural result in the literature. Moreover, we identify bounds on the optimal order-up-to levels and develop an effective heuristic policy. Numerical results show that our heuristic policy performs well in both stationary and nonstationary settings. Finally, we show that our approach also applies to models with random lifetimes and inventory rationing models with multiple demand classes.
Journal Article
Fit : when talent and intelligence just won't cut it
This book answers the fundamental performance questions that people have asked for generations. Why is that some individuals are consistently high performers, how do they keep performing in varying situations, organisations and contexts, why can some people just not seem to be able to crack that code, and why do some individuals perform exceptionally well in certain organisations but not in others? This fresh new book challenges current thinking about the war for talent and the role intelligence plays in high performance sport and business. Over 3,000 profiles of elite corporate managers and professional elites have been studied to find the answers as to why certain individuals consistently get exceptional results and why great talent doesn't transfer across teams and businesses. This book considers real live cases and well-known examples of spectacular successes and failures through the lens of the Hogan Personality Tools. This shows how elite performance is dependent on three things; understanding what role your behaviours are best suited to, what culture you perform your best in and how you're likely to derail your career. Armed with this knowledge, this innovative text allows you to connect the dots on your past performances and prepares you to find roles, organisations and teams which best fit you, opening the door for elite performance. Instead of talent management and changing behaviour, look to Fit as a key to your performance improvement. You'll find that performance does not have a one-size-fits-all formula - it is bespoke, personal and different for each individual.
Book
Thirty Years of Inventory Routing
The inventory-routing problem (IRP) dates back 30 years. It can be described as the combination of vehicle-routing and inventory management problems, in which a supplier has to deliver products to a number of geographically dispersed customers, subject to side constraints. It provides integrated logistics solutions by simultaneously optimizing inventory management, vehicle routing, and delivery scheduling. Some exact algorithms and several powerful metaheuristic and matheuristic approaches have been developed for this class of problems, especially in recent years. The purpose of this article is to provide a comprehensive review of this literature, based on a new classification of the problem. We categorize IRPs with respect to their structural variants and the availability of information on customer demand.
Journal Article
Managing Perishable Inventories in Retailing: Replenishment, Clearance Sales, and Segregation
We study joint replenishment and clearance sales of perishable goods under a general finite lifetime and a last-in-first-out (LIFO) issuing rule, a problem common in retailing. We show that the optimal policies can be characterized by two thresholds for each age group of inventory: a lower one and a higher one. For an age group of inventory with a remaining lifetime of two periods or longer, if its inventory level is below its lower threshold, then there is no clearance sales; if it is above its higher threshold, then it will be cleared down to the higher threshold. The optimal policy for the age group of inventory with a one-period remaining lifetime is different. Clearance sales may occur if its inventory level is above its higher threshold or below its lower threshold. The phenomenon that a clearance sale happens when the inventory is low is driven by the need to segregate the newest inventory from the oldest inventory and is unique to the LIFO issuing rule. The optimal policy requires a full inventory record of every age group and its computation is challenging. We consider two myopic heuristics that require only partial information. The first requires only the information about the total inventory and the second requires the information about the total inventory as well as the information about the inventory with a one-period remaining lifetime. Our numerical studies show that the second outperforms the first significantly and its performance is consistently very close to that of the optimal policy.
Journal Article
Perishable inventory systems
This text explores the benefits of a periodic review versus continuous review, and a look at a one-period newsvendor perishable inventory model. Topics include one-for-one policies, models with zero lead time, and optimal policies with positive lead time.
Book
Reducing Pharmaceutical and Non-Pharmaceutical Inventory Waste in Tertiary Hospital: Impact of ABC-VEN Analysis in a Zero-Waste Strategy Over 7 Years
To evaluate the prevalence and trend of inventory waste in a tertiary hospital over the last 7 years. This included the type and average monetary value (MV) of inventory waste, as well as the outcome of using the Always-Better-Control (ABC)-Vital-Essential-Non-essential (VEN) matrix as part of a Zero-Waste Strategy.
This was a retrospective observational study conducted at King Abdulaziz Medical City (KAMC) over 7 years.
The prevalence of waste was 0.21%, which equates to (SAR) 15 million out of SAR 7 billion. The pharmaceutical inventory had significantly higher waste in terms of MV and the number of items (89.8%, and 80.3%, respectively) (P<0.001). The expired pharmaceutical inventory had a significantly higher waste of MV than non-moving and obsolete inventory (79.8%, 14.3%, and 5.9%, respectively) (P<0.001). The ABC-VEN matrix categorized the inventory into Category I, which has the highest MV waste at 82.3%, followed by Category II with 16.8%, and then Category III with 0.9%. However, category II had a significantly higher number of wasted items at (58.2%), followed by Category I (24%) and Category III (17.8%) (P<0.01). The majority of MV waste consisted of a small number of pharmaceutical items that had a high clinical impact, representing 66% and 18%, respectively. After implementing a zero-waste strategy for landfills using the ABC-VEN matrix, the prevalence of waste declined from 0.9% to 0.21%. The waste sent to the landfill was zero from 2018 through 2020, saving 73.64% of the total money.
The use of the ABC-VEN matrix positively impacted the reduction of MV waste. The prevalence and trend rate of inventory waste were lower than the benchmarks of global companies, saving more than two-thirds of the inventory value that would have been wasted. The majority of the wasted MV consisted of a small number of pharmaceutical items that had a significant clinical impact.
Journal Article