1 Wireless RFID Networks for Real-Time Customer Relationship Management Philipp Schloter 1 and Hamid Aghajan 2 1 Detecon, Inc., San Mateo, CA Wireless Sensor Networks Lab, Department of Electrical Engineering, Stanford University, Stanford, CA Abstract. A new system for real-time customer relationship management is proposed. The system is based on deploying a network of RFID readers throughout an environment. Information about the presence or lingering of participating customers at different times of day is collected providing valuable marketing information for better service provision. The implementation of the proposed system includes a database management program and an intuitive user interface allowing real-time access to the data acquired by the network. 1 Introduction Increased competition is forcing retailers to leverage all information available in order to optimize their operations and improve their bottom-line. As part of this effort, understanding customers and managing the customer relationship is critical. As a result, the market for customer relationship management (CRM) [7, 8] software has exploded over the last decade The Economist estimated the market for customer relationship management software alone at over $11B for 2004 . The next wave of growth in this area is already on the horizon RT-CRM (real-time customer relationship management) . RT-CRM will enable interacting with customers effectively around the clock. A major component of such an approach is tracking customer behaviour on retail and exhibition floors, which enables managers to optimize floor layout, and plan promotions and other marketing efforts accordingly. While existing prototypes are extremely expensive and complicated to deploy, our new system can offer similar capabilities at much lower cost. With the advent of decentralized wireless sensor networks , the cost of deploying sensing technologies will go down significantly. In this paper, we describe a novel prototype system of a wireless sensor network-based RT-CRM system, employing RFID  for sensing. The designed infrastructure lays the foundation for future research in the area of wireless sensor networks and next-generation CRM. By cutting the total system cost by at least an estimated factor of ten, wireless sensor networks will bring RT-CRM to the masses. Existing system designs require a complete redesign of the floor space and hence are extremely expensive to deploy, limiting applicability to prototype environments or very large scale operations. An example for such a prototype environment is the Metro future store . Metro designed a new store to demonstrate and test upcoming tech- T. Enokido et al. (Eds.): EUC Workshops 2005, LNCS 3823, pp , IFIP International Federation for Information Processing 2005
2 1070 P. Schloter and H. Aghajan nologies relevant to retailers. An RFID-based shelf and shopping cart content tracking system was deployed at the Metro future store. RFID allows Metro to track its entire inventory electronically and enables customers to self check-out without a cashier. Harrah s casino is an example of a very large scale non-prototype RT-CRM operation. Harrah s Entertainment casinos  introduced a customer loyalty card. Patrons need to insert their loyalty card into the casino s slot machines in order to play. Harrah s has over 36,000 such slot machines. The loyalty card uniquely identifies the patron and enables Harrah s to visualize the casino floor in real-time by attributes such as age, average spent, game or drink preferences. Harrah s can then optimize its casino floor  and even run custom-tailored promotions, such as offering the player her favorite drink, keeping her happy and playing all in real-time. The high cost of deploying and maintaining the type of systems as deployed by Harrah s or Metro limits the use of such real-time CRM technology to a select few, very large players in industry. While this type of technology can greatly improve revenue, it is prohibitively expensive. It requires a large data warehouse with specialized software and a complete redesign of the floor space to install the necessary electronics. Further, current technology cannot track customer movements on the floor unless customers insert or swipe a loyalty membership card at all places as they move, e.g. at slot machines. These constraints further limit the applicability of RT-CRM. 2 Approach We propose a new low-cost RT-CRM system based on a wireless sensor network. In contrast to previous systems, our system is significantly less expensive to deploy. It requires neither extensive remodeling of the floor space nor computer specialists to deploy and operate the system. The system is almost completely self-configuring, allows tracking of customer movements even without swiping a loyalty card, and can be deployed without any redesign of the floor space. The system is applicable in a variety of environments, including retail, exhibitions and museums. We believe that our design will make RT-CRM a reality even for small- and medium-sized businesses. 2.1 Infrastructure Our infrastructure consists of six components: 1. A set of wireless sensors, equipped with RFID readers, which collect readings from RFID-based loyalty cards. 2. An aggregator mote that accumulates the data from the sensors. 3. An aggregation server that receives the data from the aggregator mote and stores it into a database. 4. A database server that runs databases for a) sensor data, b) customer information and c) system settings. It also provides a hook to other back-end systems such as inventory or cash register management systems. 5. A data processing entity that mines the data in the database. The web server triggers this data processor. 6. A web server that hosts a web-based system administration interface and also visualizes the data results received from the data processor. Graphically, the systems can be described as in Fig. 1.
3 Wireless RFID Networks for Real-Time Customer Relationship Management 1071 Wireless Aggregator Mote Cloud of Wireless Motes with RFID Readers Web Interface Web Server Aggregation Server Data Processor Sensor Data Customer Data Database Server System Settings Fig. 1. Schematic overview of system infrastructure. Arrows indicate direction of data flow. 3 Implementation In contrast to existing designs, our design does not require an entire redesign or upgrade of the floor space. In this section, we explain the deployment process in a typical retail environment. Instead of having to redesign the entire store to incorporate RT-CRM technology, a store manager simply walks through the store and places wireless sensor motes on the different shelves to track customers. This store walk-through is a one-time process. At the entrance, RFID-enabled loyalty cards are distributed to customers. These cards are just the size of a credit card and carry a unique customer identifier that links to a customer entry in a database (they might also carry part or all of the actual customer data). The cards are wireless, so as a customer passes by a wireless sensor mote, the customer is automatically tracked. During checkout, an electronic cashier tracks the customer again and the information about the purchase is linked to the customer database entry. The store manager can add additional motes at anytime, increasing precision on the fly as required and reducing the initial investment. The store manager administers the system through a web-site. After having distributed the motes throughout the store, the store manager can load a map of the store via the web interface and graphically align the motes on the map (see Fig. 2(a)). This way the store manager knows exactly what store areas a set of customers visited. 3.1 Operation and Analysis In this section, we describe our system s easy-to-use maintenance and analysis web interface. Products can be added at any time and the corresponding sensors are added to the map. One could employ a system extension that even automatically positions the sensors on the floor map, e.g. via RSSI-based triangulation or other localization techniques. Such a feature would especially help for large deployments with many sensors. Since products can be labeled and added at any time, managers can grow the system organically. For example, initially only aisles might get distinguished, but then, as additional precision is required and budget allows, additional sensors are added, e.g. to distinguish different sections of an aisles or even individual shelves.
4 1072 P. Schloter and H. Aghajan (b) (a) (c) Fig. 2. Web interface (a) Arranging and labeling the sensors, (b) Entering customer information, (c) Example list of attributes for segmentation In the prototype version, users sign up via the web interface. A stand-alone registration console is also possible. The current system requires users to enter their loyalty card number and their age and gender manually (see Fig. 2(b)) as the CRM data statistics. This step can be eliminated in a real deployment by enabling an RFID-based recognition of the card at the store front. This data is stored in the customer database and is used for segmentation. Clearly, the card number could also link to other customer information systems with more customer detail, e.g. ZIP code, level of education or customer s purchase history. Such information systems are already employed in conjunction with store loyalty cards used for recording purchases. The collected data is visualized via heat maps. The # of visitors view indicates the volume of customers. Red means the sensor s visitor volume is in the top 25% percentile of all the sensors volumes. Blue means the sensor s visitor volume is in the bottom 25% percentile of sensors volumes. Yellow represents the 25% - 75% percentile, i.e. an average volume of visitors.
5 Wireless RFID Networks for Real-Time Customer Relationship Management 1073 Fig. 3. Web interface Example of difference in female and male in-store behaviours Visitors can also be segmented by attributes such as age group, gender, products or booth visited. The data processing can be limited to a certain time span, e.g. early afternoon or between 1 and 2pm (see Fig. 2(c)). In addition, the average duration spent at a location is visualized. The average duration indicates how long customers take before they decide to purchase. The radius of each coloured circle indicates the range of the sensor. Red indicates long average duration, yellow indicates average duration (25% 75% percentile) and blue indicates low average duration. Other visualizations are also feasible. For example, one could visualize the flow of customers between different locations. The mentioned segmentation functionally allows for example to illustrate how the in-store behaviour of female and male shoppers differs (see Fig. 3). 4 Data-Driven Decisions Based on the visualizations, managers can quickly identify problem areas and deduce possible actions to improve performance, i.e. customer satisfaction and/or revenue. For example, let s say the number of customers that visited a location is low and the percentage of those customers who bought the product carried at the location is low. No matter how much time customers spent at the location, it is likely that the target customer for the product simply rarely finds the product in the store. A manager should consider making the product more visible. For example, he could add signs to help direct customers or, if there is still no demand whatsoever for the product, the manager might decide to drop the product entirely. If a lot of customers visited a location, spent a lot of time at the location, but did not buy after all, there might be too little information for the customers to decide on a purchase immediately. There could be many reasons. The store might carry too many similar products, there might be too little product information available for customers to form a decision, or it might just be the nature of the offering that purchase decisions take time. The manager should look into adding product information and/or investigate if adding sales staff to answer customer questions is feasible. Alternatively, there might also be problems with a product s packaging. This information could be valuable for the product management of the supplying company. If a lot of customers visited a location, spent little time and bought little, it is likely that this passage is just a walk-through, leading customers to other products. The manager might consider swapping out the product located here with a product that is
6 1074 P. Schloter and H. Aghajan more relevant to the passing-by customers. This way the store could benefit from increased impulse purchases. Many other scenarios can be deducted from the high-level visualizations provided by the system. Our system could even automatically detect certain data patterns and provide an according list of recommendations to the manager. The manager then could implement the recommended changes she thinks are most feasible. Finally, our system, linked to a cash register system, could measure the overall revenue impact and ROI of the implemented changes. 5 Cost Comparison In this section, we will estimate the cost of deploying our wireless sensor networkbased system and compare it with traditional systems. Since every deployment is different, it is challenging to provide an estimate for all cases. However, the following analysis should at least indicate the magnitude of potential cost savings. Table 1. The major cost components in traditional systems and in the proposed technique. Software Hardware Deployment Maintenance Traditional Highly specialized, costly software from multiple vendors rarely web-based / rarely hosted service model. Often times data center; multiple machines since different vendors might require different platforms and each application might require a dedicated machine by itself. Usually remodeling of floor space required; swap out of equipment (e.g. store shelves or slot machines), data cables need to be installed throughout the floor space. Requires staff of IT experts. Proposed System Low-cost, single vendor and possibility to offer as hosted service with little up-front cost. One PC (possibly on remote-side) ~$1000 today Est. $10/sensor (declining as adoption increases) Est. $0.5/loyalty card (declining as adoption increases) Less than 30 minutes of initial training per manager Est. 30 seconds /sensor No data cabling to all aisles or shelves required. Web-based, managed directly by manager. Products and sensors can be added any time.
7 Wireless RFID Networks for Real-Time Customer Relationship Management 1075 The cost of a system can generally be divided into four areas: software, hardware, deployment, and maintenance. In Table 1, we list some of the key cost drivers in each area for traditional systems and for our system. Due to its high cost up to now, computer systems were only used by few entities in measuring and analyzing customer behaviour on the floor. Traditionally, external or in-house consultants are hired sporadically to observe customers on the floor. By taking extensive notes, these consultants would analyze customer movement patterns, preferences and other behaviour to develop a set of recommendations on how to adjust the store layout. Hiring a consultant for a few hours can easily cost thousands of dollars and this traditional approach does not allow for the continuous tracking of trends. Continuous tracking is essential in a world of cyclical buying patterns, ever-changing product lineups, changing customer preferences and fast-moving competition. Considering the low margins in the retail business, a revenue increase due to better customer behaviour data by even a few cents per unit can yield significant additional profit. A mean of continuously tracking customer behaviour such as the proposed system can have a big business impact. In Table 2, we estimate the cost of a traditional system vs. our new system. Please note that this calculation is only an estimate and that each scenario is likely to be different. However, these numbers should give an idea of the magnitude of the cost difference between the two systems. The required investment for the new system should be lower by a factor of 10 or more in comparison to traditional systems. Maintenance costs should be lower by a factor of 20 with our new design. Note that the fixed cost of the proposed system is significantly lower. By utilizing a hosted service model with sensor network motes, the system can organically grow, reducing fixed costs and making it especially attractive to smaller stores. Clearly, the reduced cost will bring RT-CRM type applications to a broader audience. In addition, with the new system, businesses could start with a small deployment and add precision and sensors as needed, further lowering the required initial investment. Larger stores can benefit from the flexibility of the system by rotating the motes between different aisles, reducing the investment, while still producing an insightful view on customer behaviour. Table 2. The costs are likely to be considerably less in the proposed system Software and Hardware Traditional ~$50,000 ~$1,500 Sensors NA ~$10,000 Remodelling of shelves, Cabling Deployment Labour Maintenance Labour ~$100,000 NA ~$50,000 ~$1,000 ~$100,000/year Proposed System ~$5,000/year Total ~$200,000 + $100,000/yr ~$12,500 + $5,000/yr
8 1076 P. Schloter and H. Aghajan 6 System Integration Components The first prototype system was implemented using a low-frequency RFID reader from Texas Instruments. The TI Passive RFID SDK kit was used for RFID reading. The server ran on MySQL and Apache on a laptop computer. Code was developed in various C derivatives as well as PHP. We are investigating several potential extensions to our initial prototype. Having the described infrastructure in place, new ideas and concepts can be quickly prototyped and tested. In particular, we have identified six key areas for extending the application: 1. Sensing: Includes long-range passive RFID technology, potentially aided by multiple reader antennas, simultaneous reading of very high volumes of RFID tags, and the automatic detection of possible intruders or hackers. 2. Communication: Includes finding the ideal trade-off point between aggregating data over a period of time at the mote sensor and the ability to have real-time information via high-frequency updates for different environments. Another area of concern is security, since the transmitted information might be of high interest for competitors. 3. Storage: Includes evaluation of the trade-off between only storing the required metrics for analysis, or storing all received data, which requires more storage. In addition, scalability and lifetime tests in real environments should be conducted. 4. Visualization: In this module the most relevant and actionable metrics are identified via conducting a user testing. In addition, real-time visualization and animation enhance the functionality of the system. 5. Analysis: Includes automatic detection of data patterns and events, and forming a list of appropriate recommendations. The automatic tracking of promotions and time series analysis in real-time enables another entire application. 6. Administration: Includes new ways of simplifying deployment and maintenance of the network. For example, automated localization of sensors upon deployment would eliminate the manual step of aligning the sensors with the floor map and, as a result, would greatly reduce the network setup time. 7 Customer Privacy In order to facilitate adoption among customers of retail stores, the privacy concerns implied by the use of the tagged loyalty cards need to be addressed. To this end, participating customers can be assured that the collected data is solely used for statistical analysis and no personally identifiable information is used in the market analysis process. Use of loyalty cards in super markets and wholesale membership clubs has proven successful in retaining participants via offering discount incentives. The user can be given an option to opt out from the CRM system, but discount offers would provide adequate incentives for many to participate. In other settings, tags could be installed on shopping carts instead of having customers carry them. While this approach may provide an alternative to addressing privacy concerns, the disadvantage in adopting such method would be that customer segmentation may not be readily possible. In order to understand the behaviour of various different customer segments, it is essential that the proposed CRM system can link information with customer profiles.
9 Wireless RFID Networks for Real-Time Customer Relationship Management 1077 Customers are willing to give up some privacy, if they gain something for it in turn. Client recognition service programs can provide a customized shopping experience. Customers gain by benefiting from customized services that are rendered to participants depending on the context and their stated preferences. Several casinos and membership-based recreation clubs have successfully deployed such customer service programs. Finally, a single loyalty card that works across stores could be another option. Such a card can significantly improve service rendition to patrons. For example, the system could automatically guide the participating customers throughout a mall to the stores that carry their desired items. 7 Conclusions The next wave of growth in customer relationship management is on the horizon RT- CRM. In the future, firms will track customer behaviour on retail and exhibition floors and react in real-time by altering business levers such as floor layout, promotions, product mix and advertising. While existing prototype systems are extremely expensive and complicated to deploy, the system we implemented offers similar capabilities at much lower cost. By cutting the total system cost by at least an estimated factor of 10, wireless sensor networks will bring RT-CRM to the masses. Our prototype system lays the foundation for a plethora of new projects and will help to open up new fields, bridging customer relationship management and wireless sensor networks. Acknowledgments We would like to thank the entire team at the Stanford Wireless Sensor Network Lab. We also would like to thank John Fogelsong and Texas Instruments for providing the RFID equipment. References  The Economist, March 2004 Edition, p. 95.  I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A Survey on Sensor Networks. IEEE Communication Magazine, August,  The Metro Store of the Future.  Compudigm Company Brochure, seepower V4 Gaming In Action  K. Finkenzeller. RFID Handbook. John Wiley & Sons  David O. Becker. Gambling on customers. The McKinsey Quarterly, 2003 Number 2.  C.K. Prahalad, Patrica B. Ramaswamy, Jon R. Katzenbach, Chris Lederer, Sam Hill. Harvard Business Review on Customer Relationship Management. Harvard Business School Press, January 15,  P. Child, R. Dennis, T. Gokey, T. McGuire, M. Sherman, and M. Singer. Can marketing regain the personal touch? The McKinsey Quarterly, 1995 Number 3.  R. Sedgewick. Real-time CRM: a competitive advantage today, a competitive imperative tomorrow? Customer Interaction Solution, Volume: 22 Issue: 8 Page: 50(3), February 1, 2004.
Wireless RFID Networks for Real-Time Customer Relationship Management Philipp Schloter 1, Hamid Aghajan 2 1 Detecon, Inc. San Mateo, CA 94402 firstname.lastname@example.org 2 Wireless Sensor Networks Lab,
Drive Business Further Faster With RetailNext Built especially for retailers, RetailNext is a scalable in-store analytics platform that makes it easy for you to collect, analyze, and visualize data about
Business Intelligence Solutions for Gaming and Hospitality Prepared by: Mario Perkins Qualex Consulting Services, Inc. Suzanne Fiero SAS Objective Summary 2 Objective Summary The rise in popularity and
Harrah s Marketing Overview February 2008 Total Rewards Overview Today s Discussion Segmentation, Campaign Management, Modeling and Analytics Other Personalized Touch Points New Channels 2 HET: The Leading
Motorola Mobile Workforce Management Software A framework for Intelligent and automated real-time task management Keep your workforce, one of the largest costs of doing business, focused and productive
GAMING/CASINO DATA MARKETING WHITE PAPER NO LUCK NEEDED. How the Right Data Can Improve Casino Marketing Campaigns V12 Group 141 West Front Street Suite 410 Red Bank, NJ 07701 1-866-842-1001 www.v12groupinc.com
Radio Frequency Identification (RFID) An Overview How RFID Is Changing the Business Environment Today Radio frequency identification (RFID) technology has been in use for several decades to track and identify
Session Abstracts Optimization Services Track Survey Says: Consumers Want Live Help October 22 nd, 11:00 am Eastern ATG recently surveyed more than 1,000 Internet users who research, apply for, and buy
Beyond the Spreadsheet: How Can Help Educators Save Time and Money The Cost of Lost and Damaged School s With technology playing an increasing role in school curriculums, and laptops and other high-tech
Put the IoT to Work in Your Store IoT adds a personal touch to retail that keeps customers coming back. Your store still has time to be on the leading edge of retail IoT and to create an even more personalized
Demand more from your retail marketing. HP Retail Promotion Manager Reduce costs and boost sales. The HP Retail Promotion Manager provides a solution for retailers seeking to streamline and simplify the
M A R K E T S P O T L I G H T T r a n s f o r m i ng Manufacturing w ith the I n t e r n e t o f Things May 2015 Adapted from Perspective: The Internet of Things Gains Momentum in Manufacturing in 2015,
OR A C L E D A T A S H E E T Oracle Retail Customer Engagement Cloud Services Oracle Retail Customer Engagement Cloud Services is a suite of integrated cloud services designed to drive incremental revenue
VOL 1 ISSUE 1 WHAT S NEW Clients First introduces Innovative ERP Recession Delivery Model - a no-gimmick methodology that permits businesses to implement Microsoft Dynamics ERP software with no risk and
EPoS and Ecommerce Solutions for Independent Retailers The future of independent retail is multi-channel. Successful independent retailers will need to have a real time, single view of customers, stock
TOUCHING THE SPEED OF RETAIL Software Solutions for The Independent Retailer Retail. Real Simple. Demo It Integrate It Retail. Real Simple. Retail used to be a lot easier. You bought it, you sold it, you
30 Yvetta Fendorova Connecting CRM systems for better customer service Article at a glance Many companies don t pass leads and case histories across the boundaries of departments and businesses and therefore
by INCREASE REVENUE PER SQUARE METER WITH ACTIONABLE INSIGHTS Powered by ACTIONABLE RETAIL INSIGHTS SUMMARY Retailers in brick and mortar stores need deep insight into consumer behavior and foot traffic
Portal solutions for the retail industry Executive brief October 2005 Improving customer satisfaction and operational efficiencies with a proven portal solution. Page 2 Contents 2 Executive summary 2 Retail
Six Secrets to Simply Sell More Wine Texas Wine & Grape Growers Association 2013 Annual Conference & Trade Show Case Study: WHY SELL MORE WINE? Facts Winery X was selling 3,000 cases per year, virtually
A Kavaii White Paper http://www.kavaii.com Data Analytics Solution for Enterprise Performance Management Automated. Easy to Use. Quick to Deploy. Kavaii Analytics Team Democratizing Data Analytics & Providing
2006 2011, «Creative.Buro» Software Solution Review Performance Reliability Security Scalability Efficiency User Friendliness ABOUT is a software solution for automation of your event booking business.
Deliver Compelling Shopping and GREAT Customer Service with Interactive Technologies Focus on the Finish. Driving Consumers to Purchase 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public
WHITE PAPER Introduction Many small and medium-sized businesses are looking for smarter ways to operate in order to survive in this changing economy. After gaining control of your finances (generally with
From Platt Retail Institute s Resource Library Bringing Research to Retail SM See the entire PRI Resource Library at www.plattretailinstitute.org/library. Consumer Location-Based Analytics Deliver Actionable
How to revolutionize brickand-mortar retail industry with big data analytics? April 20, 2015 Agenda Tapway Introduction & Why We Do What We Do Technology Overview In-store Analytics for Retail Chains Shopper
The Future of Retail Customer Loyalty RFID Enables Breakthrough Shopping Experiences Author Rachael McBrearty June 2011 Cisco Internet Business Solutions Group (IBSG) Cisco IBSG 2011 Cisco and/or its affiliates.
Customer-Centricity in a World of Data: Turning Big Data into a Big Opportunity Richard Maraschi Business Analytics Solutions Leader IBM Global Media & Entertainment Joe Wikert General Manager & Publisher
The Second Half of the Chessboard An ongoing exploration of transformative developments impacting the fast moving consumer goods retail industry Paper 2: In-Store Analytics Hit Prime Time About As Founder
The Impact of Visitors on Retail Websites Adobe Digital Marketing Insights Adobe Digital Marketing Insights Report The Impact of Visitors on Retail Websites Executive Summary Consumers who visit retail
Need stock and employees control? Need fast check-out time and loyal customers? Need a powerful POS without implementation headaches? Your search is over! Performance with a single touch Whether you open
White Paper EMBEDDED GPUS ARE NO GAMBLE Designing electronic slot machine systems with optimal performance, power consumption and reliability it all starts with the processing platform TABLE OF CONTENTS
Soft Landing Does your current software give your retail pharmacy business the visibility and flexibility you need to be responsive and competitive? Or, could it be that your operation has outgrown the
SOLVING OUT-OF-STOCKS FOR GOOD 40 HOW A FEW THOUSAND DOLLARS OF TECHNOLOGY CAN BOOST REVENUE UP TO 10% Kurt Salmon consumer research shows that 50% to 60% of out-of-stocks result in lost sales consumers
Is Automated Checkout RFID s Killer Ap? And if so, is it feasible given the state of the technology today? Mark Roberti, Founder & Editor, RFID Journal Agenda Sam s Club s Strategy Is it feasable? What
PREDICTIVE INTELLIGENCE BENCHMARK REPORT Metrics and Insights from 140+ Million Interactions Table of Contents Predictive Intelligence: Web 3 Predictive Intelligence: Email 7 Recommendations 11 About the
International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 5 (2014), pp. 537-544 International Research Publications House http://www. irphouse.com /ijict.htm Analytical
App user analytics and performance monitoring for the business, development, and operations teams CA Mobile App Analytics for endto-end visibility CA Mobile App Analytics WWW.OVUM.COM Written by: Michael
SOLUTION OVERVIEW SAS MERCHANDISE INTELLIGENCE Make the right decisions through every stage of the merchandise life cycle Deliver profitable returns and rewarding customer experiences Challenges Critical
HOW THE WEB IS CHANGING EVERYTHING WHITE PAPER HOW THE WEB IS CHANGING EVERYTHING IN THE SIGN INDUSTRY And what you need to know to take advantage Topics included in this paper Introduction SaaS and Cloud-based
BUSINESS S FOR THE Hospitality Industry 4G LTE: THE NEXT- GENERATION VERIZON WIRELESS NETWORK FOR THE HOSPITALITY INDUSTRY A wireless revolution is under way that promises to transform how your business
W H I T E P A P E R Workforce Management Software How to Determine the Software You Need and Justify the Investment C O N T E N T S Executive Summary..................................... 1 Why use workforce
Solution Overview Cisco Connected Mobile Experiences Make Customer Visits Personal and Profitable BENEFITS Keep customers and guests in your venue longer Reduce the loss of business to competitors Increase
Elan Financial Services 2014 Developing a Credit Card Strategy Leveraging Big Data Big data presents great opportunity for targeting and incentivizing customers with valuble card offers. By Elan Financial
Beaconstac How Retailers can go Omni channel using Beacons 1 Contents Why beacons are the key to omni channel retail 3 What is omni channel and why it is a must have for retailers 3 How retail stores can
Retail Store Optimization Leveraging Video Analytics to Boost Total In-Store Performance The Intelligent Store Series Whitepaper Page 1 R etail organizations have been using video surveillance as a valuable
FIVE INDUSTRIES Where Big Data Is Making a Difference To understand how Big Data can transform businesses, we have to understand its nature. Although there are numerous definitions of Big Data, many will
DIFFERENTIATE THE RETAIL CUSTOMER EXPERIENCE AND INCREASE LOYALTY AND REVENUES The versatile MC17 Series allows customers to check prices, scan purchases and create gift registries at the press of a button
Exact JobBOSS MANUFACTURING ERP SOFTWARE BUYERS GUIDE A guide to selecting the right shop management system. jobboss.exactamerica.com 2 MANUFACTURING ERP SOFTWARE BUYERS GUIDE CHOOSING THE RIGHT MANUFACTURING
Towards a Transparent Proactive User Interface for a Shopping Assistant Michael Schneider Department of Computer Science, Saarland University, Stuhlsatzenhausweg, Bau 36.1, 66123 Saarbrücken, Germany email@example.com
Behavioral Retargeting Email Campaigns: Five Things You Need to Know 01 2010, Listrak By Megan Ouellet, Director of Marketing June 28, 2010 Forrester Research reported that 154 million people in the United
e-crm: Latest Paradigm in the world of CRM Leny Michael (Research Scholar, Bharathiyar University, Coimbatore) Assistnat Professor Caarmel Engineering College Koonamkara Post, Perunad ranni-689711 Mobile
The IT Guide to RFID Solutions for Schools The Technology, Applications, and Benefits Radio frequency identification, or RFID, has become a leading technology in providing automated and reliable location
Operations and Distribution Management Brochure See your business in a new way. Realize the future of your business today. See your business in a new way. Realize the future of your business today. Distribution
Exact Macola AN EXACT WHITEPAPER TOP 10 REASONS TO UPGRADE TO EXACT MACOLA 10 Exact. Focus on what s next. 1 Introduction Exact Macola has provided software solutions to thousands of small and medium-sized
WHITEPAPER SEPTEMBER 2007 Mike McGuirk Vice President, Behavioral Sciences 35 CORPORATE DRIVE, SUITE 100, BURLINGTON, MA 01803 T 781 494 9989 F 781 494 9766 WWW.IKNOWTION.COM PAGE 2 A baseball player would
Accenture solutions for consumer goods Power at your fingertips Understanding the market It is a tough market out there: margins are tightening, competition is increasing and the retail landscape is changing.
A/B SPLIT TESTING GUIDE How to Best Test for Conversion Success CONVERSION OPTIMIZATION WHITE PAPER BY STEELHOUSE Q2 2012 TABLE OF CONTENTS Executive Summary...3 Importance of Conversion...4 What is A/B
David Chappell December 2011 WHAT IS AN APPLICATION PLATFORM? Sponsored by Microsoft Corporation Copyright 2011 Chappell & Associates Just about every application today relies on other software: operating
BUY BIG DATA IN RETAIL Table of contents What is Big Data?... How Data Science creates value in Retail... Best practices for Retail. Case studies... 3 7 11 1. Social listening... 2. Cross-selling... 3.
March 2014, HAPPIEST MINDS TECHNOLOGIES Unified Communications Solution for Retail Industry Author Sindhu Selvaraj SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright Information
Page 1 Transform the Retail Store with the Internet of Things The Internet of Things is here today There s a new era dawning in the retail industry, and it s being driven by the Internet of Things. The
Business Intelligence: How better analytics can lead your business to higher profits. Introduction The economic downturn is forcing business leaders to rethink strategic plans. To remain competitive, businesses
Sales success through optimised processes from branch to head office Retail Software Solutions Introduction Finely fitted targeted expertise from the global partner for retail success MICROS-Retail, the
A CHASE PAYMENTECH WHITEPAPER Building customer loyalty in a multi-channel world Creating an optimised approach for e-tailers Table Of Contents Changing shopping habits... 3 The multi-channel journey...
Motorola Enterprise Mobility Retail Solutions: Driving customer loyalty and sales to new heights with mobility Regardless of whether you have a large retail operation or a small specialty store, you can
APPLICATION BRIEF Differentiate the retail customer experience and increase loyalty and revenues with the MC17 Series The versatile MC17 Series allows customers to check prices, scan purchases and create
SCALING UP RFID FOR RETAIL CHAINS PLANNING GUIDE 4. Implementation 3. Rollout Planning 2. Systems Architecture 1. Solution Definition SCALING UP RFID DEPLOYMENTS IN RETAIL After running successful pilots
Ruckus Moxie Retail Analytics Leveraging Wi-Fi Location Analytics for Retail Store Optimization A Ruckus Wireless case study featuring Moxie Retail 2 Executive Summary New technologies have dramatically
DRIVING B2B SALES IN THE AGE OF DIGITAL DRIVING B2B SALES IN THE AGE OF DIGITAL WE RE ON THE CUSP OF A GENERATION SHIFT IN B2B PURCHASING. As Business-to-Business (B2B) buyers are exposed to innovative
This is a professional services rate schedule exclusively for Microsoft Dynamics CRM / xrm customization and implementation services. Offered through the Dynamics CRM community DynamicsExchange.com these
The Massachusetts Open Cloud (MOC) October 11, 2012 Abstract The Massachusetts open cloud is a new non-profit open public cloud that will be hosted (primarily) at the MGHPCC data center. Its mission is
Issue in Focus: Consolidating Design Software Extending Value Beyond 3D CAD Consolidation Tech-Clarity, Inc. 2012 Table of Contents Introducing the Issue... 3 Consolidate Upstream from Detailed Design...
Document K59 RESEARCH NOTE NETSUITE S IMPACT ON MANUFACTURING COMPANY PERFORMANCE THE BOTTOM LINE When Nucleus analysts investigated the use of NetSuite by manufacturers, they found these companies were
IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you
Clienteling: What It Really Is. 2 Is there an App for that? In the world of retail technology, the term Clienteling has achieved buzzword status. As a result of this newfound popularity, the meaning of
SOURCE ID RFID Technologies and Data Capture Solutions RFID - a vital link for streamlining in-store inventory and supply chain management Source ID believes that worldwide demand for RFID based technology
Accenture CAS: Retail Execution Create stronger customer connections Understanding the market In an age of see it, buy it consumer activity, one of the biggest challenges facing today s business is shelf
The Connected Enterprise: Transformation through Mobility Introduction The last 24 months have seen a lasting shift in human behaviour across the world. This is the shift to a connected society - communicative
Real-Time Big Data Analytics + Internet of Things (IoT) = Value Creation January 2015 Market Insights Report Executive Summary According to a recent customer survey by Vitria, executives across the consumer,
RFID Technology Review Practices for Using Passive, Low-Cost RFID for Improved Asset Tracking Sponsored by: Presented by: Shane Snyder President 2014 MHI Copyright claimed as to audiovisual works of seminar
Best Practices of Mobile Marketing With the advent of iphone, Android phones, and tablets, adoption of the mobile is contagious, and will continue in the coming years as well. The market penetration of
Q Customer Maximize Sales and Margins with Comprehensive Customer Analytics Struggling to connect the dots between Marketing, Merchandising and Store Ops? With the explosion of customer interaction systems,
Hong Kong Retail Technology Industry Association Hong Kong Retail Technology Industry Association Presented by: Mr. Ken K.K. Fong B.Soc Sc (HKU), M.Sc. (I.M), MBA, MCIM, MHKCS, MHKMA, Chartered IT Professional.
0 questions you should ask before investing in your mobile applications Mobility makes sense Improve your supply chain execution with mobile applications. With mobility you get instant access to the information