merchandise

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Published By: ATG, Inc.     Published Date: May 07, 2009
Create an e-commerce presence that's easy for merchandisers to manage, and improve the success of online recommendations. When Tommy Hilfiger looked to enhance its relatively limited online store in 2007, ease of use for merchandisers was the key priority.
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atg, tommy hilfiger, commerce ondemand, automated merchandising, e-commerce, recommendations
    
ATG, Inc.
Published By: Bronto     Published Date: Jan 20, 2017
Bronto partnered with Ipsos Research and Censuswide to survey more than 4000 US, UK and Australian shoppers about their preferences for cross-border shopping, factors that entice them to shop outside their home country, and remaining barriers to global ecommerce. In this paper we found: - Australian consumers (71%) embrace cross-country commerce more than the UK (44%) and the US (42%). - Women and shoppers over 55 years old are more likely to choose merchants in their home country. - The two top reasons for buying from another country are unique merchandise at a better price. - Barriers include concern about shipping costs, distrust of online payments and security worries. - Download this research report to get more valuable insights and advice to help you be the winner in this growing global competition.
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bronto, e-commerce, global sales, customer lifecycle
    
Bronto
Published By: Dell     Published Date: Sep 06, 2015
Retailers can analyze this data to generate insights about individual consumer preferences and behaviors, and offer personalized recommendations in near real-time. Key to this is the ability to optimize merchandise selections and pricing that are tailored to a consumer’s likes and dislikes.
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ibm, big data, retail data, retail, consumer data, shopper data
    
Dell
Published By: HP     Published Date: Jan 20, 2015
There are many new ways Big Data analytics can significantly boost marketing and promotional efforts through real-time and historical analysis of online data, such as clickstream or purchase transactions. Unstructured data based on social media—even photos and video—offers enormous potential when analyzed with the right tools.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: IBM     Published Date: Nov 28, 2012
Retailers are faced with many challenges on how to motivate their customers to engage in favorable shopping behavior. Join this session to hear how IBM is helping retailers apply advanced merchandise info to predict buying behavior.
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ibm, advanced analytics, retailers, information, channel, consumer, merchandise information
    
IBM
Published By: IBM     Published Date: Aug 14, 2014
Customers demand positive, unified experiences across every channel—and they also expect to buy products where and when they want them. What are leading retailers doing to put customers first and remain competitive across channels?
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ibm, omni-channel, merchandise, customer, retailers, channels
    
IBM
Published By: IBM     Published Date: Aug 14, 2014
This Q&A with IDC Retail Insights discusses the opportunities available to retailers through omni-channel merchandise optimization and explains the transformations that are compelling retailers to pursue OMO now.
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ibm, analyst, idc, omni-channel, merchandise, retailers
    
IBM
Published By: IBM     Published Date: Nov 25, 2014
Read this ebook from the Aberdeen Group to see the results of a wide-ranging study of retailers across multiple segments. Find out what it takes to enhance loyalty and satisfaction while increasing sales and margins in the connected-customer era.
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merchandise optimization, customer empowerment, retail, aberdeen group
    
IBM
Published By: IBM     Published Date: Nov 25, 2014
When empowered customers use multiple channels to engage and purchase, merchants struggle to make optimal merchandising decisions to maximize sales, profit and shopper loyalty. We’ll show you how IBM can help through our portfolio of Omni-Channel Merchandise Optimization solutions.
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ibm, ibm experienceone, optimal merchandising, cloud-computing
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
Web content management remains a vibrant and growing market, fueled by the aspirations of digital strategists on the demand side and continuous innovation on the supply side. IT application leaders, marketers, digital experience specialists and merchandisers all now view WCM as mission-critical.
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ibm, mobile, applications, apps, mobile apps, customer engagement, it application, wcm
    
IBM
Published By: Inovis     Published Date: Aug 06, 2007
Major retailers and mass merchandisers are turning up the pressure on their trading partners and even other retailers to implement Global Data Synchronization (GDS) within their organizations. These advocates see GDS and participation in the Global Data Synchronization Network (GDSN) as the best path to improving the timeliness and accuracy of their supply chains, particularly once these efforts are broadly supported across the retail supply chain landscape.
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gds, inovis, retailers, merchandisers, gdsn, data synchronization, inovis catalogue, global data synchronization
    
Inovis
Published By: Intel     Published Date: Dec 13, 2018
Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service. To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you. Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive • Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day • Traffic and sales analysis for better staff allocation and marketing-event planning • Store heatmap analysis for more precise merchandise placement and product promotion
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Intel
Published By: Litmos     Published Date: Apr 23, 2015
Download this list of the 10 Rules of Retail Sales training to learn how to optimize employee performance and improve your customers' experience.
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retail sales training, merchandising campaigns, customer satisfaction, merchandise displays, mobile devices, litmos, human resources
    
Litmos
Published By: Loop Commerce     Published Date: Mar 08, 2019
As retail continues its internet-influenced change and customer demand for “right now” service increases, a new area is open for business. There is no reason to send a shirt that is the wrong size or give an impersonal gift card. G-Commerce is here, offering a new type of personalized transaction and digitalized merchandise for those shopping for others. Learn how Loop Commerce's flagship product, GiftNow: • Increased % of sales from gifts by 2X • Drove 24% of Christmas Eve sales • Increased 6X demand over gift cards Retailers can grab last-minute shoppers literally up to the moment before a holiday, and increase profits through fewer merchandise returns.
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Loop Commerce
Published By: Monetate     Published Date: Oct 11, 2018
Monetate Intelligent Recommendations is the only solution that gives merchandisers & digital marketers the power to show contextually relevant product recommendations without burdening IT resources. Using manually curated or algorithmically-driven recommendations, marketers can easily support even the most complex product catalogs. Our solution filters recommendations based on customer attributes (e.g. shirt size), longitudinal behaviours (e.g. browsing behaviour), and situational context (e.g. product inventory at local stores). Best of all, an orchestration layer intelligently selects which algorithms and which filters to apply in any given situation, for any particular individual.
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Monetate
Published By: Oracle     Published Date: Jan 28, 2015
In the not-too-distant past, a retailer simply had store-level sales data, from which virtually all planning decisions were made. Today, retailers—from grocery to fashion—are bombarded with data that, with the right tools, can help them gain actionable insight into shoppers’ behavior across channels. In this white paper Oracle Retail explains how retailers can accurately measure consumer interest in specific merchandise and apply that knowledge from one channel to the next, thoroughly understand the implications of promotions on specific customers and customer segments, price on product performance, plan channel-specific assortments accordingly, and coordinate the supply chain processes to ensure execution of the cross channel plan.
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Oracle
Published By: Oracle     Published Date: Oct 22, 2015
In its annual Magic Quadrant for Merchandise Assortment Planning, Gartner Analyst Robert Hetu, states loud and clear that, “now is the time for multichannel retailers to invest in assortment management applications that drive customer-centric assortments.” Oracle is one of the top 5 suppliers that provides all functional capabilities and continues its position in the leadership quadrant.
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oracle retail, gartner magic quadrant, multichannel retailers, merchandise assortment
    
Oracle
Published By: PODS for Business     Published Date: Oct 06, 2017
Retail store managers become accustomed to the challenge of balancing staff time between performing tasks in the store and servicing customers on the sales floor. The biggest challenges come during resets, seasonal changes, and other promotional events which require floor changes. Merchandise must be moved from the stock room onto the sales floor.
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PODS for Business
Published By: SAP     Published Date: Sep 07, 2010
Download the report to find seven tenets of 21st century merchandising, along with analysis of the business drivers, opportunities, and organizational constraints surrounding merchandise planning and execution.
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mechandising, sap, merchandise, erp, enterprise resource planning, gma, rsr
    
SAP
Published By: SAP     Published Date: Sep 19, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 19, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
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master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
Tags : 
business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity.
Tags : 
master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy.
Tags : 
master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
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