This document discusses IBM's Social Merchandising solution for retailers. Some key points:
- Social Merchandising combines internal and external customer data sources like social media, surveys, call centers to provide merchants insights into customer sentiment, trends, and perceptions.
- It aims to help merchants understand why customers perceive things like quality and value in certain ways, not just what is being said.
- The solution provides a dashboard that tracks key metrics and trends to help merchants make decisions around pricing, promotions, and inventory.
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
Arun Gupta, Customer Care Associate and Group Chief Technology Officer, Shoppers Stop presented at the Premier Business Leadership Series 2010, http://www.sas.com/theserieshk.
With many retailers worldwide struggling to maintain revenues, how do you grow in such a tough competitive landscape? As a leading Indian retailer and pioneer in using technology, especially business analytics, Shoppers Stop is not only thriving but has helped revolutionise the retail sector. Gupta will share insights on using analytics to drive business value, reduce operational costs and provide better products and customer experience.
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
NRF 2019: Retail's Big Show
Sunil Suram, Director of AI and Big Data, Tango
Pranav Tyagi, President and CEO, Tango
Mark Zygmontowicz, SVP, Business Development, Tango
State of Analytics: Retail and Consumer GoodsSPI Conference
There is little doubt that Business Analytics will become a core differentiator in consumer industries, but even though Retail and Consumer Goods companies view analytics as extremely strategic, they struggle to effectively leverage it across the enterprise. EKN has studied the adoption and impact analytics in these industries for the last 5 years, and this counterpoint presentation will summarize key trends in analytics and shares fresh 2016 data on the state of analytics. Presented by Joe Skorupa (Editorial Director, RIS News) & Gaurav Pant (Senior VP Research & Principal Analyst, EKN Research) at the 2016 SPI Conference.
SAP WHITEPAPER: Reacting in the Retail Moment, Analyzing Big Data in Real Tim...Beyond Technologies
Under any circumstances, retail is an extremely competitive industry. But today, an uncertain economy and low consumer confidence, coupled with shorter product lifecycles and well-informed, demanding customers, make it especially difficult to execute a profitable strategy.
Retailers have only a narrow window to make the sale and seize the opportunity. Thriving in this environment means maximizing the profit potential of each interaction, transaction, and customer contact.
This slide introduces the topic of Marketing Analytics, impact of marketing analytics, Dashboard, ePOS, Assortment Planning, and Market Basket Analysis.
Youtube links in the slides:
MARKETING ANALYTICS:
https://www.youtube.com/watch?v=-oHGG5jJPHQ
DYNAMIC PRICING:
https://www.youtube.com/watch?v=cKPaIsOQslo
INTRO TO ePOS:
https://www.youtube.com/watch?v=7VVKtPge-zw
https://www.youtube.com/watch?v=XWuwlChR8c4
MARKET BASKET ANALYSIS
https://www.youtube.com/watch?v=sJWXgcZ-E2g
Inventory management is key for profitability in retail. Disappointing customers by missing trends or not meeting their demand puts retailers in a serious deficit. This report covers .. why harnessing inventory data is critical for success, what KPIs are essential for effective inventory management, which POS reports all retailers should run and when, and more! Enjoy the report, and visit us at springboardretail.com for even more inventory management content.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Retail experiences will be dominated by in-store analytic modules and aisle or on-self interactions. These new type of data will provide a true omni-channel experience to the end consumer enabling brands deliver a real precision marketing experience. One to one marketing is here and can be efficient applied within the physical store, where still 94% of all retail purchases take place.
Arun Gupta, Customer Care Associate and Group Chief Technology Officer, Shoppers Stop presented at the Premier Business Leadership Series 2010, http://www.sas.com/theserieshk.
With many retailers worldwide struggling to maintain revenues, how do you grow in such a tough competitive landscape? As a leading Indian retailer and pioneer in using technology, especially business analytics, Shoppers Stop is not only thriving but has helped revolutionise the retail sector. Gupta will share insights on using analytics to drive business value, reduce operational costs and provide better products and customer experience.
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
NRF 2019: Retail's Big Show
Sunil Suram, Director of AI and Big Data, Tango
Pranav Tyagi, President and CEO, Tango
Mark Zygmontowicz, SVP, Business Development, Tango
State of Analytics: Retail and Consumer GoodsSPI Conference
There is little doubt that Business Analytics will become a core differentiator in consumer industries, but even though Retail and Consumer Goods companies view analytics as extremely strategic, they struggle to effectively leverage it across the enterprise. EKN has studied the adoption and impact analytics in these industries for the last 5 years, and this counterpoint presentation will summarize key trends in analytics and shares fresh 2016 data on the state of analytics. Presented by Joe Skorupa (Editorial Director, RIS News) & Gaurav Pant (Senior VP Research & Principal Analyst, EKN Research) at the 2016 SPI Conference.
SAP WHITEPAPER: Reacting in the Retail Moment, Analyzing Big Data in Real Tim...Beyond Technologies
Under any circumstances, retail is an extremely competitive industry. But today, an uncertain economy and low consumer confidence, coupled with shorter product lifecycles and well-informed, demanding customers, make it especially difficult to execute a profitable strategy.
Retailers have only a narrow window to make the sale and seize the opportunity. Thriving in this environment means maximizing the profit potential of each interaction, transaction, and customer contact.
This slide introduces the topic of Marketing Analytics, impact of marketing analytics, Dashboard, ePOS, Assortment Planning, and Market Basket Analysis.
Youtube links in the slides:
MARKETING ANALYTICS:
https://www.youtube.com/watch?v=-oHGG5jJPHQ
DYNAMIC PRICING:
https://www.youtube.com/watch?v=cKPaIsOQslo
INTRO TO ePOS:
https://www.youtube.com/watch?v=7VVKtPge-zw
https://www.youtube.com/watch?v=XWuwlChR8c4
MARKET BASKET ANALYSIS
https://www.youtube.com/watch?v=sJWXgcZ-E2g
Inventory management is key for profitability in retail. Disappointing customers by missing trends or not meeting their demand puts retailers in a serious deficit. This report covers .. why harnessing inventory data is critical for success, what KPIs are essential for effective inventory management, which POS reports all retailers should run and when, and more! Enjoy the report, and visit us at springboardretail.com for even more inventory management content.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Retail experiences will be dominated by in-store analytic modules and aisle or on-self interactions. These new type of data will provide a true omni-channel experience to the end consumer enabling brands deliver a real precision marketing experience. One to one marketing is here and can be efficient applied within the physical store, where still 94% of all retail purchases take place.
Analytics have become a vital element in grocery retailers’ toolboxes, helping them to hone in on best practices in order to improve customer service. From space management and promotion planning to price optimization and assortment planning, analytics are delivering the insights that help grow the business and improve the bottom line.
Retailers around the world are finding success with insight-driven analytics. Representing the largest grocery cooperative in Finland, Ilkka Alarotu from the S Group will share his expertise and experiences with analytics in an upcoming webinar.
Joining Alarotu during the webinar, industry consultant Jim Hertel from Willard Bishop will discuss his perspective on the benefits of analytics; and Cyndy Renfrow from SAS will share grocery case studies highlighting innovation and analytics.
Analytics is a critical tool that allows business owners to make
fact-based decisions about taxonomies. Taxonomy management involves capturing terms and concepts, analyzing their usefulness, and managing the employment of the concepts and terms within different contexts.
This presentation offers best practices on design and maintenance of taxonomies, as well as discusses the role of the governance plan.
The presentation covers broad areas of design methodology, with sustainable methods for maintaining taxonomies and integrating changes into their systems design processes.
Big data, analytics and the retail industry: LuxotticaIBM Analytics
Luxottica Retail North America is the world's largest designer, manufacturer, distributor and seller of luxury and sports eyewear. To make better use of the data on its 100 million customers, and increase marketing effectiveness, Luxottica turned to IBM. With IBM's Customer Intelligence Appliance (CIA), Luxottica gained a 360-degree view of its customers and can now fine tune its marketing efforts to ensure customers are targeted with products they actually want to buy.
Rethink Marketing: IBM's Vision for Continuous Customer EngagementErin Jaeger
I delivered this presentation at the IBM Smarter Business conference in Copenhagen, Denmark, in October 2013. It lays out IBM's vision for the future of marketing, which will require marketers to engage every customer in a personalized, relevant dialogue in order to grow and maintain loyalty.
The 360 degree view of customer has been around for several years and has become a bit of cliché. The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant. And of course the amount of data available is increasing at an incredible rate. This rate of increase is mirrored inside organizations, many of whom are struggling to leverage new kinds of data and turn them into specific useful information about their customers.
By bringing together technologies like Hadoop and incorporating unstructured data into that traditional single view, and with technologies like Watson explorer we can bring that enhanced 360 in front of the seller, marketer or customer service rep to make the customer’s experience more personalized. This causes them to buy more quicker and be less likely to switch.
From Creepy to Cool: Fine Lines in Audience Analyticsgraemeknows
It’s a fine line that marketers can cross in the new era of big data analytics. You can go from “cool” to “creepy” in a blink of an eye if you don’t truly know who you are targeting. And, if they don’t know they are being targeted by you, it can result in disaster. In this energetic and interactive session, we’ll explore the current industry trends in media & entertainment and address the technology and talent barriers marketers face as they work to engage audiences as individuals. We’ll also debate the order of the steps organizations are taking in their analytics journey to discover insights and drive relevance. We’ll ask: where do YOU see “predictive” fitting into the journey and how do you define that particular step? - See more at: http://panelpicker.sxsw.com/vote/22046#sthash.1iQ3IipL.dpuf
Insight2014 ibm client_center_4_adv_analytics_7171IBMgbsNA
#IBMInsight session presentation "Your Competitive Advantage: The IBM Client Center for Advanced Analytics (CCAA)"
Introduction to the Client Center for Advanced Analytics, Analytics and Insight – deriving business value, Case Studies and Demo – using SPSS and BigInsights, Data, Capabilities and Infrastructure – bringing it all together, Getting Started with CCAA.
More at www.ibm.biz/BdEPRD
Gene Villeneuve - Redefinning the Analytics ExperienceIBM Sverige
Hur kan man förbättra verksamheten med hjälp av data? För de flesta företag ligger den största utmaningen inte i hur man lagrar data utan hur man skapar insikter utifrån dem. Framgångsrika företag använder analys som verktyg för att dra nytta av all sin data. Med analys ser man inte bara vad som hänt utan man får även veta vad som kommer att hända. Det hjälper beslutsfattare på alla nivåer att ta bättre beslut. Affärsanalys är en kritisk framgångsfaktor för ett företag i dagens affärsvärld. Ta chansen att lyssna på Gene Villenueve som berättar om hur IBM kan hjälpa organisationer att bli bättre på analys. Föredraget hålls på engelska/This session will be in english
Dallas Digital Summit: 6 Steps to Big Data SuccessSameer Khan
The Big Data phenomenon was all about the collection of masses and masses of data: it was a technology challenge. But for most of us, this is no longer a problem – we know how to collect the data – the challenge now is one of processing the data, to make smart data work for us. Econsultancy, reports only 25% of the organizations are able to make proactive use of digital data to drive business outcomes. In this session, IBM’s Sameer Khan will outline a 6 step action plan to manage your data and derive relevant insights from it.
Location sensing and IBM presence insightsDerek Baron
The next generation of context-aware apps will use a variety of location sensing technology as its canvas for creating more productive, meaningful, and interactive user experiences.
IBM Presence Insights Integrates multi-sensor engagement capabilities, Facilitates mobile apps that sense, analyze, act, engage, and Partnership opportunities (retail, events, social media).
Big Data Expo 2015 - IBM Outside the comfort zoneBigDataExpo
When it comes to high tech, we tend to wear blinders. We only want to see what's right in front of us. At times, we look forward but we rarely look around us to see how other industries are succeeding. This is especially true with organizations who want to look beyond business intelligence and reveal answers you never thought to ask. For example, what would demand forecasting for a Chief Marketing Officer in Media & Entertainment mean to a Chief Data Officer in banking? Or what would Customer Operations Transformation in Energy & Utilities mean to a Chief Customer Officer at a major retail operation? In this interactive and energetic session, we'll explore valuable cross-industry use cases to help get you "outside your comfort zone" and take a completely different look at how applications of advanced and predictive analytics on big data - or any data - can help you to act on real-time insights to fundamentally transform your business.
Why focus on the customer journey? Because today's digital consumer is engaged and empowered, owns four devices and consumes 60 hours of digital content per week. The majority of this customer engagement happens during a journey.
The difficult task for maketers is to understand how customers interact with their brand and this requires seeing their entire journey and connecting the dots.
IBM is providing solutions to meet these challenges and fully understand the customer journey with Journey Analytics.
Take a look!
DMA 2014: 6 Steps to Integrate Your Big DataSameer Khan
The Big Data phenomenon was all about the collection of masses and masses of data: it was a technology challenge. But for most of us, this is no longer a problem – we know how to collect the data – the challenge now is one of processing the data, to make smart data work for us. In this session, IBM’s Sameer Khan will outline an action plan to manage your data and make it smart. He will be ably supported by Andrew Bailey, who will bring his experience with using smart data for integrated marketing campaigns to show you how it is put into action at a company like FedEx.
Igniting Application Testing with AI + Automation IBM
Description:
Testing applications is an arduous and time-consuming process. Hear from IBM's client about how they are applying automation combined with artificial intelligence (AI) to develop and test applications—speeding up time to market and providing the agility to respond better to competitive threats. Using automation and AI can improve complex testing requirements by minimizing, and then automating, laborious testing processes. It can provide 45% faster cycles and reduce the number of tests up to 60% while providing 100% coverage of testing requirements. So you get faster testing, and up to 40% fewer defects.
Presenters: Nick Carnovale, IBM / Bruce Lovvorn, Ahold Delhaize
For more information, go to: https://www.ibm.com/ignite
Unifying the Silos: Optimize your Data Pipeline for Analytics and AIDataWorks Summit
Discover how to break apart the modern data analytics workflow to focus on the data challenges across different phases of the analytics and AI lifecycle. By taking an end-to-end data pipeline view while adopting storage technologies for AI and analytics, your organization can reduce costs, modernize your data strategy and improve data governance. By anticipating how Hadoop, Spark, Tensorflow, Caffe and traditional analytics like SAS can share data, IT departments and data science practitioners can not only coexist, but also speed time to insight. You'll also learn the tangible benefits of a reference architecture using real-world installations that span proprietary and open source frameworks.
Consumer insights and engagement: Delivering a differentiated brand experienc...IBM Analytics
Digital, social and mobile technologies have primed consumers to expect convenient, personalized interactions and fast, easy access to information. IBM Consumer Insights and Engagement integrates consumer data, analytics and marketing systems of engagement. For more information and to see how companies are using predictive
analytics to engage customers and drive results, visit: http://ibm.co/consumeranalytics
Companies today need to drive performance from every aspect
of their IT investments. Find out how skills drive performance
results and how IBM is building skills for a smarter planet in
partnership with IBM Global Training Providers
Computing, cognition and the future of knowing,. by IBMVirginia Fernandez
How humans and machines are forging a new age of understanding.
-The history of computing and the rise of cognitive
-The world’s first cognitive system.
-The technical path forward and the science of what’s possible
-Implications and obligations for the advance of cognitive science.
-Paving the way for the next generation of human cognition.
Transport has a major impact on the quality of life in a city, its environment and the economy. Transport Authorities globally are facing similar strategic challenges around worsening congestion, insufficient transport infrastructure, affordability constraints, increasing emissions and growing customer needs...
IBM Cognos Analytics - Aumente la inteligencia de toda su empresaVirginia Fernandez
IBM Cognos Analytics: La única plataforma que necesita su negocio!:
Benefíciese del autoservicio inteligente
Tome decisiones con confianza
Transforme su negocio gracias a la generalización de la analítica
Bienvenido a la era de la Seguridad Cognitiva.
IBM Security Summit 2016 es el evento de referencia de la seguridad que mostrará cómo adelantarse a las amenazas de colaboración, cloud, y las capacidades cognitivas.
21 de Septiembre, IBM Client Center Madrid.
A Bluemix offering built on open-source Docker technology.
Containers technology originated over 20 years ago with web-hosting vendors seeking to optimize the density of websites residing on each server in a datacenter. IBM, Sun, Google made key contributions to those early iterations. More recently, by isolating an application and its dependencies inside a container, Rocket and Cloud Foundry have evolved standards for working with containers within cloud infrastructure. And Dockerhas eliminated the issues that previously resulted in a containerized application working in one environment but not another.
In the context the IBM partnership with Docker, this document provides an overview of IBM Containers as an enterprise-ready solution for using Docker containers.
With more than six billion mobile devices on the planet, digital
marketers are challenged with not only delivering perfectly timed mobile-optimized emails, but they should also consider how to strategically incorporate SMS and even mobile apps into the communication mix. IBM has an ever-growing mobile solution suite that helps make integrating mobile with your other digital channels easy and effective.
Movilidad, Social Business, Big Data y Cloud: principales tendencias tecnológicas que influyen en la competitividad. DevOps permite la entrega continua de innovación promovida por el software, estimulando estas iniciativas y su capacidad de competir en el mercado.
- > 25% de las empresas aprovechan la entrega de software para obtener ventaja competitiva.
- 69% De las empresas que utiliza la entrega de software de forma eficiente supera a sus competidores
Mas informacion: http://www.ibm.com/cloud-computing/es/es/landing/cloud-bluemix.html
IBM Exceptional Digital Experiences . Would you like to deliver a distinctive experience? Target your customer? Understand their needs and behavior?
Discover IBM ExperienceOne for E-commerce and engage online with your customers.
Enhance and accelerate your path to digital innovation and transformation with IBM Cloud. Develop a roadmap to get started with cloud and incorporate best practices from other organizations just like yours.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
Bring on-line and physical touchpoints together and deliver a seamless, personalized shopping. Take advantage of physical stores to create compelling experiences for consumers.
differentiated customer relationships mean having a relevant, personal and continuous dialogue based on current context. Provide a seamless experience that consistently delivers on a unique brand promise.
Turn historic and real-time information into actionable insights to inform decisions across the organization – from personalized promotions and pricing to tailored assortment and supply chains.
More competition means less room for inefficiency. Retailers must maximize value from every resource to increase revenue, protect profits and overhead through to take advantage of new business opportunities.
Geo-location Bluetooth Low Energy (BLE) or ‘Bluetooth Marketing’ has exploded in popularity with the adoption of new Beacon technologies. Beacons are essentially ‘GPS for indoors’, which allow for personalized, micro-location –based notifications and alerts. For Retail, early adopters have used their iBeacons to communicate with smartphones in their stores by sending notifications with news, information and promotions.
NFC Near field communication is a technology that specifies a set of radio frequencies used by two devices in close proximity to exchange files and data. Retailers should expect to see a spike in demand to use their phones as payment. Other use cases include… if an NFC tag is attached to a poster, an NFC smartphone can "tap" the tag to access the information stored there. The phone might display a map to a store, product information, and even a link to a "buy page". Or for grocery, a shopper can touch their phone to a food package and instantly see its ingredients and nutrition information.
Wearable Tech Wearables are quickly extending beyond tech companies and fitness brands. Fashion houses are sizing up the market and exploring ways to create wearables for a new breed of shopper. Wearables rang up $475 million in sales during the last 12 months, according to the NPD Group, and awareness is growing fast: 52 percent of consumers said they had heard of wearable technology devices as of January. Top fashion brands have said they have a shared vision to “accelerate wearable technology innovation and create products that both enhance peoples' lives and are desirable to wear”
Pop Up Stores as mobile technology continues to advance (mobile wallet, NFC, wearable tech), mobile businesses will evolve with it. For instance, aside from food trucks, expect to see more fashion trucks, flower trucks, and even hair salon trucks. Pop-up stores, usually reserved for apparel retailers, will diversify as well.
Curbside wants to become the go-to solution for same-day pickup from local stores. That is, it’s combining the convenience of mobile ordering with the option to pickup the items from the store, without having to leave the comfort of your car.
Mobile-ordering for curbside pick up requires an extensive amount of big data capabilities to manage real-time availability, pricing, and location-based mobile tech
Social Assortments Retailers are currently using social sites to monitor feedback and connect with customers, but they will take a step further and use social media to influence product displays/assortments, and marketing campaigns. Nordstrom for example, has started using Pinterest to decide which products to display in their stores. According to Business Insider, “popular items on Pinterest will be displayed with a red tag identifying them as popular in the women's shoe and handbag departments of a major retailer.”
User-Generated Content 60M photos are shared on Instagram everyday. Those images are often shared on Facebook and pinned on Pinterest. This has created an enormous library of digital content that Retailers can potentially leverage to compliment their stock photography or use for merchandise which does not have an image online.
59% of retailers said that a lack of consumer insight was their top data related pain point
Top three reasons why retailers use big data
#1 analyzing consumer data
#2 bringing together different data sources
#3 improving personalization
Smarter Shopping Experience: Retailers that deliver a smarter shopping experience interact with consumers in ways that provide each of them with a timely, relevant and personalized experience. IBM helps retailers collect, secure and analyze big data generated through mobile, social and the Internet of Things, allowing them to get to know each customer as an individual in context. Using all the information that’s available— from new sources, structured and unstructured, inside and outside the organization—it becomes possible to not only understand an individual’s history but also perceive each person’s interests and current lifestyle needs and wants.
Merchandising & Supply Networks: While merchandising is often viewed as an art, new technologies can now add science to these processes. By quickly identifying shifting trends, consumer sentiments and selling opportunities, buyers can make the best choices so as to maximize their return on inventory and avoid markdowns. If you take into account targeted consumers, you can develop tailored and differentiated assortments - by location or channel - that achieve the highest sales, margin and customer satisfaction. IBM helps retailers to accurately anticipate customer needs and align a compelling offering of products, prices, and promotions. IBM also helps retailers in real-time inventory visibility to optimize planning and fulfillment processes, so as to create a supply network that can provide dependable delivery against changing demand, while also maximizing inventory productivity and profitability.
Smarter Operations: Smarter operations encompasses a range of improvements that are designed to streamline back-office processes; take advantage of reduced-cost delivery models; optimize people, process and system capabilities at the store and enterprise level; protect the business in the face of fast-evolving threats; and establish much better visibility into organizational performance.