Future of Retail Operations: Winning in a Digital Era
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Airfreight @ SEA Committed | Convenient | Connected
Airfreight @ SEA Committed | Convenient | Connected The Puget Sound Region is home to globally recognized companies like Microsoft, Amazon, Costco Wholesale, Starbucks, Phillips, Nordstrom, Expedia, and Weyerhaeuser. As well as major Boeing aircraft assembly plants. Access to global air cargo markets through Seatle-Tacoma International Airport (SEA) plays a vital role in the productivity and growth of businesses that call the Puget Sound home and is an economic engine that facilitates the region’s economy. Industries in our region such as ecommerce, pharmaceuticals, commercial aerospace, high-tech manufacturing, fresh and frozen seafood products, and high-value agriculture depend on access to global connections. Seattle is located midway between Asia and Europe, which offers similar flight times to both continents. SEA’s cargo facilities include both Port-owned and third-party developed cargo facilities at an accessible location in the center of the greater Pacific Northwest regional market area. Cargo facilities feature: • Service from multiple nonstop air freighter • Onsite federal inspection services including connections and belly cargo capacity on Customs, the U.S. Fish and Wildlife Service, numerous nonstop wide-body passenger flights USDA, FDA, CDC, and TSA • Cargo area hardstand parking for 18 freighter aircraft • Excellent surface transportation connections, • Over the past five years, the Port has partnered with close proximity to two major seaports and with private developers to build/lease over 2.2 the 2nd largest concentration -
Brick-And-Mortar Retailers' Survival Strategies Amid the COVID-19 Crisis
Mitsui & Co. Global Strategic Studies Institute Monthly Report June 2020 BRICK-AND-MORTAR RETAILERS’ SURVIVAL STRATEGIES AMID THE COVID-19 CRISIS Katsuhide Takashima Industrial Research Dept. III, Industrial Studies Div. Mitsui & Co. Global Strategic Studies Institute SUMMARY As the shift in consumer demand towards e-commerce (EC) has taken root amid the COVID-19 crisis, brick-and-mortar retailers will need stronger survival strategies. The first strategy is to respond to consumer needs for infection prevention, such as by adopting cashierless checkout systems and implementing measures to reduce the amount of time customers spend in stores. The second strategy is to enhance the sophistication of EC initiatives by leveraging the advantage of speediness in product delivery that only brick-and-mortar retailers can provide. The third strategy is to expand and monetize the showroom function. Business models providing insight to this end are beginning to emerge. The spread of COVID-19 infections has divided the retail industry, placing companies in stark contrast with each other depending on business format. Most specialty retailers, including department stores, shopping malls, and apparel shops, saw their earnings decline because they closed their stores to prevent infections, or otherwise suffered from operating restrictions. Meanwhile, other retail formats permitted to stay open in to supply consumers with daily necessities marked earnings growth. They include supermarkets, which captured demand from restaurants that had either closed or were avoided by consumers, and drugstores, which saw growth in demand for infection prevention products, e.g., masks and disinfectants (Figure 1). In addition, e-commerce (EC) transactions are increasing sharply, reflecting rapidly expanded usage by consumers who are refraining from going out. -
Price Comparison, Price Competition, and the Effects of Shopbots Kirsten A
Journal of Business & Economics Research – September 2013 Volume 11, Number 9 Price Comparison, Price Competition, And The Effects Of ShopBots Kirsten A. Passyn, Salisbury University, USA Memo Diriker, Salisbury University, USA Robert B. Settle, Salisbury University, USA ABSTRACT Two ShopBots were used to determine high-to-low price dispersion for identical models of 25 consumer durables, in 2007 and again in 2011, revealing substantial but declining price dispersion ratios. A survey of 1,135 American online shoppers revealed their dependence on ShopBots and frequency of other online shopping actions. Typical respondent reported they "very often" used search sites to locate what they wanted. Nearly 30 percent used the most often named price comparison site, Yahoo! Shopping, in the past year, suggesting substantial potential for future price rationalization. Several customer relationship management tools online merchants might use to avoid the resulting direct price competition are discussed. Finally, the impact of m- commerce, tablets, and apps on online price comparison behavior is explored. Keywords: Consumer Behavior; Database Marketing; Direct Marketing; Electronic Commerce; Online Shopping; Price Dispersion INTRODUCTION s annual online shopping in North America reaches the $200 Billion mark (Lumry, 2011), the emergence of ShopBots such as Yahoo! Shopping and Google Product Search has facilitated consumers’ ability to gather price and product information, virtually mitigating search costs. It was Atherefore initially assumed that as ShopBots became increasingly prevalent on-line merchants would come under increased price competition, eventually leading to price convergence. With ShopBots now the third most popular online shopping option after eBay and Amazon, we reassess the impact of ShopBots on price as they reach their tipping point. -
Sensitivity of TRIM Projections to Management, Harvest, Yield, And
United States Department of Agriculture Sensitivity of TRIM Projections Forest Service Pacific Northwest to Management, Harvest, Yield, Research Station Research Note and Stocking Adjustment PNW-RN-502 March 1991 Assumptions Susan J. Alexander Abstract The Timber Resource Inventory Model (TRIM) was used to make several projections of forest industry timber supply for the Douglas-fir region. The sensitivity of these pro- jections to assumptions about management and yields is discussed. A base run is compared to runs in which yields were altered, stocking adjustment was eliminated, harvest assumptions were changed, and management intensity assumptions were changed. The objective was to determine if there is a difference in supply projections and age-class distributions in the short term (20 years) and the long term (50 years) when assumptions are changed. Changing harvest assumptions had an effect on yield projections and age-class dis- tributions only when artificially high and low harvests were applied. Harvesting oldest age classes first had little effect on age-class distribution projections or supply pro- jections. Changing assumptions about intensity of management and yields can have an effect on supply projections in both the short and the long term. Intensifying cur- rent management, deemphasizing harvest of older age classes, and using modified yield functions increased supply projections. The model showed that long-term vol- ume projections decrease when future inventories are managed in the same way as current inventories. Age-class distributions were not significantly affected by changing assumptions for management and yield. Keywords: Supply projections, age-class distribution, sensitivity analysis. Introduction The Timber Resource Inventory Model (TRIM) (Tedder and others 1987) is a pre- cursor to ATLAS (Aggregate Timberland Assessment System)1 the computer model used by the USDA Forest Service in the 1989 RPA Timber Assessment.2 The Forest ' Mills, John R.; Kincaid, Jonna C. -
Realizing Your Customer First Vision
REALIZING YOUR CUSTOMER FIRST VISION C U S T O M E R C O N T A C T EAST: A FROST & SULLIVAN EXECUTIVE MIND CHANGE Part of our 2019 International Customer Contact Executive MindXchange Series April 7 – 10, 2019 #CCFrost JW Marriott Marco Island Beach Resort Marco Island, Florida www.frost.com/linkedinCC REGISTER NOW [email protected] TEL: 1.877.GOFROST (1.877.463.7678) FAX: 1.888.674.3329 customercontacteast.com #CCFrost www.frost.com/linkedinCC 5 REASONS WHY YOU MUST ATTEND EXECUTIVE PROFILE / WHO WILL PARTICIPATE Executive | Vice President | Director 75% 1 YOUR CUSTOMER IS YOUR TRUE NORTH Every person, every process, every tool must embed the customer in its DNA. Ignore this at your peril. Management 19% 2 TECHNOLOGY IS MOVING FAST Other 6% An era of unprecedented change is upon us, driven by the exponential acceleration of digital technologies. Get a grip on a fast moving landscape of solutions. Join our growing community of customer contact, customer experience, and PEOPLE ARE MORE IMPORTANT TO SUCCESS operations executives seeking and sharing new ideas and creative approaches to 3 THAN EVER BEFORE common challenges. Network with Vice Presidents, Directors and Senior Managers of: Although technology is enabling personalization, it is your • Call Centers • Customer Experience • Customer Strategy people who forge the customer bonds so critical to your brand. • Contact Centers • Customer Satisfaction • Customer Support and Loyalty Investment here is an imperative. • Customer Analytics • Operations • Customer Care • Customer Service • Quality Assurance • Customer Contact INSPIRE YOUR PEERS, COLLEAGUES AND YOUR 4 INTELLECTUAL CURIOSITY *please note this profile is based on past Executive MindXchange events. -
The Fashion Runway Through a Critical Race Theory Lens
THE FASHION RUNWAY THROUGH A CRITICAL RACE THEORY LENS A thesis submitted to the College of the Arts of Kent State University in partial fulfillment of the requirements for the degree of Master of Arts by Sophia Adodo March, 2016 Thesis written by Sophia Adodo B.A., Texas Woman’s University, 2011 M.A., Kent State University, 2016 Approved by ___________________________________________________________ Dr. Tameka Ellington, Thesis Supervisor ___________________________________________________________ Dr. Kim Hahn, Thesis Supervisor ___________________________________________________________ Dr. Amoaba Gooden, Committee Member ___________________________________________________________ Dr. Catherine Amoroso Leslie, Graduate Studies Coordinator, The Fashion School ___________________________________________________________ Dr. Linda Hoeptner Poling, Graduate Studies Coordinator, The School of Art ___________________________________________________________ Mr. J.R. Campbell, Director, The Fashion School ___________________________________________________________ Dr. Christine Havice, Director, The School of Art ___________________________________________________________ Dr. John Crawford-Spinelli, Dean, College of the Arts TABLE OF CONTENTS Page LIST OF FIGURES ....................................................................................................................... iv ACKNOWLEDGEMENTS ........................................................................................................... iii CHAPTER I. INTRODUCTION .................................................................................................................. -
New Insights on Retail E-Commerce (July 26, 2017)
U.S. Department of Commerce Economics Newand Insights Statistics on Retail Administration E-Commerce Office of the Chief Economist New Insights on Retail E-Commerce Executive Summary The U.S. Census Bureau has been collecting data on retail sales since the 1950s and data on e-commerce retail sales since 1998. As the Internet has become ubiquitous, many retailers have created websites and even entire divisions devoted to fulfilling online orders. Many consumers have By turned to e-commerce as a matter of convenience or to increase the Jessica R. Nicholson variety of goods available to them. Whatever the reason, retail e- commerce sales have skyrocketed and the Internet will undoubtedly continue to influence how consumers shop, underscoring the need for good data to track this increasingly important economic activity. In June 2017, the Census Bureau released a new supplemental data table on retail e-commerce by type of retailer. The Census Bureau developed these estimates by re-categorizing e-commerce sales data from its ESA Issue Brief existing “electronic shopping” sales data according to the primary #04-17 business type of the retailer, such as clothing stores, food stores, or electronics stores. This report examines how the new estimates enhance our understanding of where consumers are shopping online and also provides an overview of trends in retail and e-commerce sales. Findings from this report include: E-commerce sales accounted for 7.2 percent of all retail sales in 2015, up dramatically from 0.2 percent in 1998. July 26, 2017 E-commerce sales have been growing nine times faster than traditional in-store sales since 1998. -
Trademarks, Metatags, and Initial Interest Confusion: a Look to the Past to Re- Conceptualize the Future
173 TRADEMARKS, METATAGS, AND INITIAL INTEREST CONFUSION: A LOOK TO THE PAST TO RE- CONCEPTUALIZE THE FUTURE CHAD J. DOELLINGER* INTRODUCTION Web sites, through domain names and metatags, have created a new set of problems for trademark owners. A prominent problem is the use of one’s trademarks in the metatags of a competitor’s web site. The initial interest confusion doctrine has been used to combat this problem.1 Initial interest confusion involves infringement based on confusion that creates initial customer interest, even though no transaction takes place.2 Several important questions have currently received little atten- tion: How should initial interest confusion be defined? How should initial interest confusion be conceptualized? How much confusion is enough to justify a remedy? Who needs to be confused, when, and for how long? How should courts determine when initial interest confusion is sufficient to support a finding of trademark infringement? These issues have been glossed over in the current debate by both courts and scholars alike. While the two seminal opinions involving the initial interest confusion doctrine, Brookfield Commun., Inc. v. West Coast Ent. Corp.3 and * B.A., B.S., University of Iowa (1998); J.D., Yale Law School (2001). Mr. Doellinger is an associate with Pattishall, McAuliffe, Newbury, Hilliard & Geraldson, 311 S. Wacker Drive, Chicago, Illinois 60606. The author would like to thank Uli Widmaier for his assistance and insights. The views and opinions in this article are solely those of the author and do not necessarily reflect those of Pattishall, McAuliffe, Newbury, Hilliard & Geraldson. 1 See J. Thomas McCarthy, McCarthy on Trademarks and Unfair Competition, vol. -
Supply Chain Effects in Creation of Omnichannel Customer Experience in Grocery Retail
CORE Metadata, citation and similar papers at core.ac.uk Provided by Aaltodoc Publication Archive Supply Chain Effects in Creation of Omnichannel Customer Experience in Grocery Retail MSc program in Information and Service Management Master's thesis Anna Savisaari 2016 Department of Information and Service Economy Aalto University School of Business Powered by TCPDF (www.tcpdf.org) Author Anna Savisaari Title of thesis Supply Chain Effects in Creation of Omnichannel Customer Experience in Grocery Retail Degree Master of Science in Economics and Business Administration Degree programme Information and Service Management Thesis advisor(s) Markku Tinnilä Year of approval 2016 Number of pages 78 Language English Abstract Online sales have changed the retail industry during the past decade, and the technological developments shape the business blending the digital and physical worlds together. Customers use different channels interchangeably during their buying process. The objective of the study is to identify and analyze the factors affecting this omnichannel customer experience in grocery retail, focusing in the supply chain effects. The empirical part searches for answers from the Finnish grocery industry. The literature review develops an understanding on three domains in this research: omnichannel, grocery industry’s distinct features, and supply chain characteristics in omnichannel grocery retail. The academia introduced omnichannel as a term about five years ago. Omnichannel retail means the different sales channels work seamlessly for the customer, and inside the company as well. Omnichannel and supply chain aspects in grocery retail are scarcely researched, since the earlier literature has had a stronger focus on customer motivations. Grocery retail is distinctive field in omnichannel retail due to perishability, low-margin and low-involvement products, frequency and volume of shopping and significance of the downstream supply chain operations. -
Suggested Answers Problem Set 3 Health Economics
Suggested Answers Problem Set 3 Health Economics Bill Evans Spring 2013 1. Please see the final page of the answer key for the graph. To determine the market clearing level of quantity, set inverse supply equal to inverse demand and solve for Q. 40 + 4Q = 400 - 8Q, so 360=12Q or Q=30. Initial equilibrium is point a below. Substitute this back into either inverse demand or supply and solve for P, P=40+4Q = 40+4(30) = 160. CS = 0.5(400-160)(30) = 3600. PS = 0.5(160-40)(30) = 1800. 2. Given the externality, the MSC= 52+4Q. The socially optimal output is where MSC=Inverse demand, 52+4Q = 400 - 8Q and therefore Q=29. Market clearing price should be P=400 - 8Q = 400 - 8(29) = 168 (point b). Because of the externality, market production is greater than socially optimal. The social cost of producing Q=30 is MSC = 52+4Q = 172. Since the externality is not internalized, consumers receive a benefit of dbae. The social cost is dbce. Therefore, deadweight loss is abc. This value is 0.5(1)(12) = 6. 3. The market equilibrium is determined by setting inverse supply equal to inverse demand and solving for Q: 8+2Q = 80 - Q, so 72=3Q so Q=24. Price would equal 8+2(24) = 56. The MSB=80-2Q so the socially optimal consumption would be at the point where inverse supply equals MSB, or 8+2Q = 80-2Q so 72=4Q or Q=18. Suppliers would supply this amount at a price of 8+2Q = 8+2(18) = 44. -
Retail Alliances
EUROPEAN COMMISION DG AGRI WORKSHOP ON RETAIL ALLIANCES Ignacio Larracoechea Manufacturer perspective Brussels, 4 - 5 November, 2019 « FAIRNESS MATTERS » «Running your business in a way that is fair to your competitors, fair to your business partners, and above all fair to consumers» «I believe that companies, and individual business people, have a responsibility to foster trust in the markets – trust in a system that works for all - by playing by the rules when they do business in the EU» 2 Commissioner Vestager speech at Copenhagen Business School 3 September 2018 Why Fairness matters, International Commerce Review, 7(2):92-102, December 2007, Ludo Van Der Heyden, INSEAD OVERVIEW 1. Imbalances in Power between Retailers and Suppliers in the Food Supply Chain 2. Retail Alliances – Who are they? How do they operate? 3. Disruption of the food supply chain ? 4. Conclusions CONFIDENTIAL 3 RETAILERS - GATEKEEPERS TO CONSUMERS EU CONSUMERS Retailers represent 20% of suppliers’ Business whilst 17/8 RETAILERS/ suppliers represent less GROUPS than 2% (or even 1%) of Retailers´ business INDUSTRIAL SUPPLIERS 1.000 FARMS (cerca 1.000.000) CONFIDENTIAL Sources: ESADE, INE y CNMC (Informe 2011) 4 COMPARISON BETWEEN THE 10 LARGEST RETAILERS, INDUSTRIAL SUPPLIERS AND COOPERATIVES ( 2015 - M€) CONFIDENTIAL 5 “Retailers only want talk The Czech Office for the Protection of Competition about price. While the salmon (ÚOHS) issued verdict for leading retailer which RETAILERS - price has increased by 60% in asked more than 200 suppliers to change the basic a year, that the raw material purchase price of their products, otherwise represents 75% of the finished GATEKEEPERS Farmers threatening to delist 30% of their product product, some retailers portfolio” – 21.08.2017 TO 10.8 Million threaten the cooperatives of Wholesalers delisting their products .. -
Download a PDF of the Retail and Hospitality Services Section of the Winter 2017 Issue Of
RETAIL AND HOSPITALITY TRACY ISSEL: MICROSOFT How a retailer delivers for its customers is becoming as important as what it delivers. Successful retailers are no longer just the ones who sell the latest must-have item – they’re the ones that can do this while creating a personal customer experience and offering a unified and continuous shopping journey across all channels. In the pages that follow, we find out how retail organisations can earn customers’ trust and loyalty by listening and being relevant at their point of need. We discover the role of machine learning and automated analytics and find out how Microsoft and its partners are enabling change. 103 FEATURE How to create amazing customer experiences Microsoft’s Pinar Salk tells us how technologies like analytics and machine learning are helping retailers to create the personalised and seamless shopping experience their customers expect BY REBECCA GIBSON one are the days where customers visit- discounts, and offer a unified and continuous ing US-based home improvement store shopping journey across all channels,” she says. GLowe’s had to flick through multiple However, most retailers are yet to deliver this swatches of paints and materials, or wander interactive and frictionless shopping experience, round the store looking at appliances. Now, largely because they have no way to connect the they simply populate their Pinterest boards customers in their stores to the customers using Retailers are using with images of their ideal kitchens, send it their online and mobile channels. Microsoft HoloLens to Lowe’s and the retailer uses analytics and “Ideally, customers should be able to search and mixed reality to machine learning technologies to find relevant for products online, create a wish list, come into improve the customer products in its inventory to produce relevant a physical store and be personally greeted by an experience and make kitchen concepts.