Joint Product Framing (Display, Ranking, Pricing) and Order Fulfillment Under the MNL Model for E-Commerce Retailers

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ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Joint Product Framing (Display, Ranking, Pricing) and Order Fulfillment Under the MNL Model for E-Commerce Retailers by : Yanzhe (Murray) Lei

Download or read book Joint Product Framing (Display, Ranking, Pricing) and Order Fulfillment Under the MNL Model for E-Commerce Retailers written by Yanzhe (Murray) Lei and published by . This book was released on 2020 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problem definition: We study a joint product framing and order fulfillment problem with both inventory and cardinality constraints faced by an e-commerce retailer. There is a finite selling horizon and no replenishment opportunity. In each period, the retailer needs to decide how to “frame” (i.e., display, rank, price) each product on her website as well as how to fulfill a new demand. Academic/Practical Relevance: E-commerce retail is known to suffer from thin profit margins. Using the data from a major U.S. retailer, we show that jointly planning product framing and order fulfillment can have a significant impact on online retailers' profitability. This is a technically challenging problem as it involves both inventory and cardinality constraints. In this paper, we make progress toward resolving this challenge. Methodology: We use techniques such as randomized algorithms and graph-based algorithms to provide a tractable solution heuristic which we analyze through asymptotic analysis. Results: Our proposed randomized heuristic policy is based on the solution of a deterministic approximation to the stochastic control problem. The key challenge is in constructing a randomization scheme that is easy to implement and that guarantees the resulting policy is asymptotically optimal. We propose a novel two-step randomization scheme based on the idea of matrix decomposition and a re-scaling argument. Managerial Implications: Using the data of a U.S. retailer, we show that when inventory across the network is imbalanced, the widespread practice of planning product framing without considering its impact on fulfillment can result in high shipping costs, regardless of the fulfillment policy used. Our proposed policy significantly reduces shipping costs by using product framing to manage demand so that it occurs close to the location of the inventory. Our numerical tests show that the proposed heuristic is very close to optimal, can be applied to large-scale problems in practice, and highlights the value of jointly optimizing product framing and order fulfillment decisions.

Joint Dynamic Pricing and Order Fulfillment for E-Commerce Retailers

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ISBN 13 :
Total Pages : 43 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Joint Dynamic Pricing and Order Fulfillment for E-Commerce Retailers by : Yanzhe (Murray) Lei

Download or read book Joint Dynamic Pricing and Order Fulfillment for E-Commerce Retailers written by Yanzhe (Murray) Lei and published by . This book was released on 2017 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider an e-commerce retailer (e-tailer) who sells a catalog of products to customers from different regions during a finite selling season and fulfills orders through multiple fulfillment centers. The e-tailer faces a Joint Pricing and Fulfillment (JPF) problem: At the beginning of each period, she needs to jointly decide the price for each product and how to fulfill an incoming order. The objective is to maximize the total expected profits defined as total expected revenues minus total expected shipping costs (all other costs are fixed in this problem). The exact optimal policy for JPF is difficult to solve; so, we propose two heuristics that have provably good performance compared to reasonable benchmarks. Our first heuristic directly uses the solution of a deterministic approximation of JPF as its control parameters whereas our second heuristic improves the first heuristic by adaptively adjusting the original control parameters at the beginning of every period. An important feature of the second heuristic is that it decouples the pricing and fulfillment decisions, making it easy to implement. We show theoretically and numerically that the second heuristic significantly outperforms the first heuristic and is very close to a benchmark that jointly re-optimizes the full deterministic problem at every period.

Multi-Item Online Order Fulfillment

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ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Multi-Item Online Order Fulfillment by : Yanyang Zhao

Download or read book Multi-Item Online Order Fulfillment written by Yanyang Zhao and published by . This book was released on 2020 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: The boom of e-commerce in the globe in recent years has expedited the expansion of fulfillment infrastructures by e-retailers. While e-retailers are building more warehouses to offer faster delivery service than ever, the associated fulfillment costs have skyrocketed over the past decade. In this paper, we study the problem of minimizing fulfillment costs, in which an e-retailer must decide which warehouse(s) to fulfill each order from, subject to warehouses' inventory constraints. The e-retailer can split an order, at an additional cost, and fulfill it from different warehouses. It is notoriously challenging to make effective real-time fulfillment decisions at the occurrence of order split, which has become a major problem for e-retailers.We focus on a two-layer distribution network that has been implemented in practice by major e-retailers. We analyze the performance of fulfillment policies that do not rely on demand forecasts. We show that, under an assumption that aligns with the practice of most e-retailers, a myopic policy achieves a constant performance ratio compared to an optimal clairvoyant algorithm. We further show that this ratio is tight. More generally, we characterize the performance guarantees of the myopic policy in terms of the cost parameters of the model. Finally, we complement our theoretical results by conducting a numerical study and demonstrate the good performance of the myopic policy.

Approximation Algorithms for Product Framing and Pricing

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ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Approximation Algorithms for Product Framing and Pricing by : Guillermo Gallego

Download or read book Approximation Algorithms for Product Framing and Pricing written by Guillermo Gallego and published by . This book was released on 2018 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose one of the first models of "product framing" and pricing. Product framing refers to the way consumer choice is influenced by how the products are framed, or displayed. We present a model where a set of products are displayed, or framed, into a set of virtual web pages. We assume that consumers consider only products in the top pages, with different consumers willing to see different numbers of pages. Consumers select a product, if any, from these pages following a general choice model. We show that the product framing problem is NP-hard. We derive algorithms with guaranteed performance relative to an optimal algorithm under reasonable assumptions. Our algorithms are fast and easy to implement. We also present structural results and design algorithms for pricing under framing effects for the multinomial logit model. We show that for profit maximization problems, at optimality, products are displayed in descending order of their value gap and in ascending order of their markups.

Joint Inventory and Fulfillment Decisions for Omnichannel Retail Networks

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Joint Inventory and Fulfillment Decisions for Omnichannel Retail Networks by : Aravind Govindarajan

Download or read book Joint Inventory and Fulfillment Decisions for Omnichannel Retail Networks written by Aravind Govindarajan and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With e-commerce growing at a rapid pace compared to traditional retail, many brick-and-mortar firms are supporting their online growth through an integrated omnichannel approach. Such integration can lead to reduction in cost that can be achieved through efficient inventory management. A retailer with a network of physical stores and fulfillment centers facing two demands (online and in-store) has to make important, interlinked decisions - how much inventory to keep at each location and where to fulfill each online order from, as online demand can be fulfilled from any location. We consider order-up-to policies for a general multi-period model with multiple locations and zero lead time, and online orders fulfilled multiple times in each period. We first focus on the case where fulfillment decisions are made at the end of each period, which allows separate focus on the inventory decision. We develop a simple, scalable heuristic for the multi-location problem based on analysis from the two-store case, and prove its asymptotic near-optimality for large number of omnichannel stores under certain conditions. We extend this to the case where fulfillment is done multiple times within a period and combine it with a simple, threshold-based fulfillment policy which reserves inventory at stores for future in-store demand. With the help of a realistic numerical study based on a fictitious retail network embedded in mainland USA, we show that the combined heuristic outperforms a myopic, decentralized planning strategy under a variety of problem parameters, especially when there is an adequate mix of online and in-store demands. Extensions to positive lead times are discussed.

The Impact of Retailer's Centralized Purchasing Structure on Vendor Order Fulfillment

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ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis The Impact of Retailer's Centralized Purchasing Structure on Vendor Order Fulfillment by : Nayla Gwen Antypas

Download or read book The Impact of Retailer's Centralized Purchasing Structure on Vendor Order Fulfillment written by Nayla Gwen Antypas and published by . This book was released on 2018 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: To remain competitive in today's market and economy, retail companies must provide products and services in the form, time and place that their consumers demand. The rise in e-commerce and improved logistics capabilities have changed how products are sold. Companies are looking to decrease costs and lead times to remain profitable as competition and consumer demands intensify. Retailers are looking to lower costs in their supply chain. Using sales data and forecasting methods, retailers are placing smaller, more frequent orders to decrease inventory and associated inventory costs throughout their network. This faster replenishment model has led to small containers becoming more common in wholesale fulfillment than large containers. Though there has been a shift in order size and frequency, there has been little change in ordering structure. Many major retailers use a centralized purchasing structure. Within the structure, there are different product categories, or departments, with buyers that place orders for the entire company. This allows for departmental expertise. Under this structure, employees from each buying department are placing multiple orders per week. This has a huge impact on vendors that supply products that fall into more than one retail category. Different orders cannot be combined so vendors could potentially receive multiple orders from the same customers that originated from different buying departments. A case study on buying strategy and structure demonstrates that a change from current retailer ordering structure with multiple buying departments to a single source of orders can decrease vendor corrugate and labor costs by 16%. This change allows the vendor to deliver the same products while using less labor and packaging materials. A company’s supply chain can be a competitive advantage for those that constantly evaluate their current systems and practices. The process of placing and fulfilling orders will remain an essential activity in the supply chain, so these processes and practices should be evaluated.

Online Versus Bricks-and-Mortar Retailing

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Online Versus Bricks-and-Mortar Retailing by : Zhaolin Li

Download or read book Online Versus Bricks-and-Mortar Retailing written by Zhaolin Li and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The popularity of online retailing has created great opportunities and challenges for retailers. A key challenge faced by many retailers is to choose between the clicks, the bricks-and-mortar, and the bricks-and-clicks strategies. In this paper, we develop a comprehensive framework for selecting the appropriate distribution channel given assortment, logistic, and consumer characteristics. Under the traditional bricks-and-mortar retail model, the retailer displays and sells the assortment in a physical store; whereas under the online retail model, the retailer accepts orders online and delivers the products offline. The traditional retailer jointly determines the breadth, the depth, and the price of the assortment; whereas the online retailer jointly determines the breadth and price of the assortment, and the delivery time. After deriving the joint optimal solution respectively for the traditional and the online retailers, we compare their performance. We analytically and numerically examine how inventory cost, delivery cost, and consumer behaviors could affect the optimal distribution strategy and customer service.

A Multi-criteria Order Fulfillment Model for a Multi-marketplace E-retail Start-up

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis A Multi-criteria Order Fulfillment Model for a Multi-marketplace E-retail Start-up by : Korhan Uran

Download or read book A Multi-criteria Order Fulfillment Model for a Multi-marketplace E-retail Start-up written by Korhan Uran and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The issue considered in this research involves a customer order scheduling problem examined in the case of a retailer delivering orders for online sales that take place in multiple marketplaces. In this setting, the goal of the company is to gain market share, by attaining high levels of customer retention, by registering good buyer reviews to improve conversion rate and to improve search engine results pages performance. Therefore, the goal of the scheduler is to maximize overall customer satisfaction and effectiveness in multiple periods. Customer satisfaction is defined as a factor of number of orders delivered before their due date, the average tardiness of all orders and the maximum tardiness of orders in the system during a period, and how long an order stays in the system on average. The effectiveness is defined by overall costs that dictate the competitiveness of company prices. In the listing phase, to maximize market coverage, the retailer determines which marketplaces the products can be listed on with profit, under the constraints of promised delivery time, shipping cost and resale prices. The optimal supplier and courier are then determined for cost minimization. Under these predetermined conditions, orders are placed, and items arrive to the retailer, a math model searches for optimal schedule of shipments to maximize overall customer satisfaction with the end goal of increased future sales. The results are compared to a priority rule combination.

Joint Learning and Optimization for Multi-product Pricing Under a General Cascade Click Model

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ISBN 13 :
Total Pages : 43 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Joint Learning and Optimization for Multi-product Pricing Under a General Cascade Click Model by : Xiangyu Gao

Download or read book Joint Learning and Optimization for Multi-product Pricing Under a General Cascade Click Model written by Xiangyu Gao and published by . This book was released on 2020 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider a pricing problem for a set of products displayed on a list. We assume a general cascade click model, in which customers examine the products in a decreasing order of display, from the top to (potentially) the bottom of the list. At each step, customers can decide to either purchase the current product, forego the current product and continue examining the next product, or simply terminate the search without purchasing any product. The objective of the firm is to optimally price the products to maximize its expected total revenues. We first study the case where the firm knows all problem parameters and derive a relatively explicit expression for the optimal prices of the products, for some cases. This is useful for uncovering some interesting managerial insights regarding the properties of the optimal prices when customers behave in the manner prescribed by the general cascade click model. We then study the case where the parameters are unknown and need to be learned/estimated from the data. For this case, we develop an online algorithm that jointly learns the unknown parameters and optimizes the prices of the products. Moving beyond the base model where the only decision of the firm is the prices, we also consider several extensions to more complex settings that include filtering options (i.e., we allow customers to filter out some of the products using some filtering options) and display ranking decisions. We discuss how our algorithm in the base setting can be extended to these more general settings. Our numerical results highlight the value of properly taking into account customer search behavior when designing a learning algorithm.

Dynamic Pricing and Inventory Management in the Presence of Online Reviews

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ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Dynamic Pricing and Inventory Management in the Presence of Online Reviews by : Nan Yang

Download or read book Dynamic Pricing and Inventory Management in the Presence of Online Reviews written by Nan Yang and published by . This book was released on 2018 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the joint pricing and inventory management problem in the presence of online customer reviews. Customers who purchase the product may post reviews that would influence future customers' purchasing behaviors. Under the common practice of customer-generated reviews on e-commerce platforms, rigorous investigation of their operational implications offers valuable insights and guidance for both the research community and practitioners. We develop a stochastic joint pricing and inventory management model to characterize the optimal policy in the presence of online reviews. We show that a rating-dependent base-stock/list-price policy is optimal. Interestingly, the inventory dynamics of the firm do not influence the optimal policy as long as the initial inventory is below the initial base-stock level. Hence, we can reduce the dynamic program that characterizes the optimal policy to one with a single-dimensional state-space (the aggregate net rating). The presence of online reviews gives rise to the trade-off between generating current profits and inducing future demands, thus having several important implications upon the firm's operations decisions. First, online reviews drive the firm to deliver a better service and attract more customers to post a review. Hence, the safety-stock and base-stock levels are higher in the presence of online reviews. Second, the evolution of the aggregate net rating process follows a mean-reverting pattern: When the current rating is low (resp. high), it has an increasing (resp. decreasing) trend in expectation. Third, although myopic profit optimization leads to significant optimality losses in the presence of online reviews, balancing the current profits and near-future demands suffices to exploit the network effect induced by online reviews. We propose a dynamic look-ahead heuristic policy that well leverages this idea and achieves small optimality gaps which decay exponentially in the length of the look-ahead time-window.

Channel Fulfillment Characteristics, Retail Network Structure and Buy-online-shipfrom-store Performance

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ISBN 13 :
Total Pages : 179 pages
Book Rating : 4.:/5 (111 download)

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Book Synopsis Channel Fulfillment Characteristics, Retail Network Structure and Buy-online-shipfrom-store Performance by : Daniel Fritzen Taylor

Download or read book Channel Fulfillment Characteristics, Retail Network Structure and Buy-online-shipfrom-store Performance written by Daniel Fritzen Taylor and published by . This book was released on 2018 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buy-online-ship-from-store (BOSS) is a relatively new and increasingly popular omnichannel fulfillment strategy for retailers. Shipping from stores allows retailers the capability to offer in-store inventory to online customers. The combined inventory available in stores and their locations closer to the customer make them attractive for online direct-to-consumer order fulfillment. In three essays, we identify statistical-economies-of-scale benefits from this pooling technique across asymmetrical retail channels. Working with a retailer, we detect ship-from-store contributed store stockouts. We also examine consumer behavior in response to stockouts according to the channel of intended purchase. In the first study we use chance constrained analytical models and Monte Carlo simulation to demonstrate the distinctly different inventory pooling behavior caused network-wide when implementing buy-online-ship-from-store. The asymmetrical availability of inventory to online customers versus in-store customers allows for unique to omnichannel captive inventories within stores. When online demand is strong enough, all safety stocks can be redirected to online customers. Otherwise, safety stocks can remain stagnant in the stores. In our second study, we partner with an apparel retailer and distinguish the counter-phenomenon observed in essay one. We observe stores unevenly stocking out when contributing to online demand fulfillment. Using panel data from the 2016 holiday season, we utilize store-based fixed-effects models to show that assigning stores to fulfill local online demand where both channels have strong sales leads to uneven store stockouts across the network. By utilizing consumer experiments, our third study demonstrates that in-store customers are more likely to remain with the retailer and substitute for out-of-stock products. Online customers are more likely to leave the retailer to seek their exact desired product elsewhere. Mitigating strategies for the retailer are additionally examined. We recognize that BOSS can make more inventory available for online customers. Each essay expands the theoretical understanding of omnichannel fulfillment management. Buy-online-ship-from-store is currently being applied by many retailers. Our research is directly applicable in practice. We propose paths to expand the work we have contributed. This dissertation expands our understanding of inventory and stockout behavior regarding omnichannel fulfillment and its impact on retailers and consumers.

Matching Competitor's Price in the Presence of Operational Frictions

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ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Matching Competitor's Price in the Presence of Operational Frictions by : Xiaomeng Guo

Download or read book Matching Competitor's Price in the Presence of Operational Frictions written by Xiaomeng Guo and published by . This book was released on 2019 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problem Description: A price match guarantee (PMG) is a retail offer to match a rival's retail price on the same product. We ask whether or not a brick-and-mortar retailer should offer a PMG, knowing that a consumer can buy the same product either from her or a competing, manufacturer-owned online store. Academic/Practical Relevance: We provide a new multi-channel framework that combines assortment, stocking, and pricing decisions in the presence of stochastic demand and quantity constraints. Previous structures at most addressed pricing and variety with deterministic demand. Methodology: We theorize that a manufacturer can simultaneously sell his output through an independent brick-and-mortar retailer and his online store. The manufacturer designs the product line and sets a wholesale price. He can develop the same product design for both channels. Or, he can create a separate product for each channel. The independent retailer responds to the product line design and the wholesale price by announcing a stocking quantity. Then, demand realizes, and both firms set retail prices in their stores. The brick-and-mortar retailer cannot sell more than what she ordered. Results: In the literature, PMGs are mostly seen as a profitable way to facilitate cartel pricing. Previous studies, however, did not consider the operational complexities of distributing goods to stores. In our model, which does consider such complexities, PMGs can be either profitable or unprofitable. We also find that the brick-and-mortar retailer might offer a PMG not to engage in cartel pricing but to be given a higher-quality product from the manufacturer that she would be otherwise. Finally, we find that retailers who provide PMGs may go beyond price-matching to adopt a price-beating policy. Managerial Implications: We explain that the optimality PMGs boils down to a parameter that describes order fulfillment efficiency online and a parameter that describes fulfillment efficiency at the brick-and-mortar store.

Click Models for Web Search

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627056483
Total Pages : 117 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Click Models for Web Search by : Aleksandr Chuklin

Download or read book Click Models for Web Search written by Aleksandr Chuklin and published by Morgan & Claypool Publishers. This book was released on 2015-07-01 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid growth of web search in recent years the problem of modeling its users has started to attract more and more attention of the information retrieval community. This has several motivations. By building a model of user behavior we are essentially developing a better understanding of a user, which ultimately helps us to deliver a better search experience. A model of user behavior can also be used as a predictive device for non-observed items such as document relevance, which makes it useful for improving search result ranking. Finally, in many situations experimenting with real users is just infeasible and hence user simulations based on accurate models play an essential role in understanding the implications of algorithmic changes to search engine results or presentation changes to the search engine result page. In this survey we summarize advances in modeling user click behavior on a web search engine result page. We present simple click models as well as more complex models aimed at capturing non-trivial user behavior patterns on modern search engine result pages. We discuss how these models compare to each other, what challenges they have, and what ways there are to address these challenges. We also study the problem of evaluating click models and discuss the main applications of click models.

Retailing in the 21st Century

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Publisher : Springer Science & Business Media
ISBN 13 : 3540720030
Total Pages : 458 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Retailing in the 21st Century by : Manfred Krafft

Download or read book Retailing in the 21st Century written by Manfred Krafft and published by Springer Science & Business Media. This book was released on 2009-12-17 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: With crisp and insightful contributions from 47 of the world’s leading experts in various facets of retailing, Retailing in the 21st Century offers in one book a compendium of state-of-the-art, cutting-edge knowledge to guide successful retailing in the new millennium. In our competitive world, retailing is an exciting, complex and critical sector of business in most developed as well as emerging economies. Today, the retailing industry is being buffeted by a number of forces simultaneously, for example the growth of online retailing and the advent of ‘radio frequency identification’ (RFID) technology. Making sense of it all is not easy but of vital importance to retailing practitioners, analysts and policymakers.

Operations in an Omnichannel World

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Publisher : Springer Nature
ISBN 13 : 3030201198
Total Pages : 353 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Operations in an Omnichannel World by : Santiago Gallino

Download or read book Operations in an Omnichannel World written by Santiago Gallino and published by Springer Nature. This book was released on 2019-10-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of retailing has changed dramatically in the past decade. Sales originating at online channels have been steadily increasing, and even for sales transacted at brick-and-mortar channels, a much larger fraction of sales is affected by online channels in different touch points during the customer journey. Shopper behavior and expectations have been evolving along with the growth of digital channels, challenging retailers to redesign their fulfillment and execution processes, to better serve their customers. This edited book examines the challenges and opportunities arising from the shift towards omni- channel retail. We examine these issues through the lenses of operations management, emphasizing the supply chain transformations associated with fulfilling an omni-channel demand. The book is divided into three parts. In the first part, “Omni-channel business models”, we present four studies that explore how retailers are adjusting their fundamental business models to the new omni-channel landscape. The second part, “Data-driven decisions in an omni-channel world”, includes five chapters that study the evolving data opportunities enabled by omni-channel retail and present specific examples of data-driven analyses. Finally, in the third part, “Case studies in Omni-channel retailing”, we include four studies that provide a deep dive into how specific industries, companies and markets are navigating the omni-channel world. Ultimately, this book introduces the reader to the fundamentals of operations in an omni-channel context and highlights the different innovative research ideas on the topic using a variety of methodologies.

Revenue Management and Pricing Analytics

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Publisher : Springer
ISBN 13 : 1493996061
Total Pages : 336 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Revenue Management and Pricing Analytics by : Guillermo Gallego

Download or read book Revenue Management and Pricing Analytics written by Guillermo Gallego and published by Springer. This book was released on 2019-08-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.

The Myth of the Ethical Consumer Hardback with DVD

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Publisher : Cambridge University Press
ISBN 13 : 052176694X
Total Pages : 259 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis The Myth of the Ethical Consumer Hardback with DVD by : Timothy M. Devinney

Download or read book The Myth of the Ethical Consumer Hardback with DVD written by Timothy M. Devinney and published by Cambridge University Press. This book was released on 2010-07-29 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A no-holds-barred examination of 'ethical' consumerism.