The increasing sophistication and expanding role of demand forecasting present new opportunities for retailers to fully optimize everything from assortment planning to pricing, space management and replenishment in both their traditional and new digital selling channels.
Retail Systems Research (RSR) presents the results of its first annual benchmark study by analysts Brian Kilcourse and Nikki Baird on the state of retail demand forecasting. This complimentary webinar answers key questions such as:
What are the challenges and opportunities in demand forecasting?
Has forecasting accuracy improved? In what areas? What does this mean for retailers?
How can retailers integrate demand forecasting in other areas of their operations?
Can retailers have (or should they have) a single demand forecast for everything?
What is the potential impact of new cloud-based demand forecasting systems?
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYCMLconf
Retail Demand Forecasting with Machine Learning: For over two decades, time-series methods, in combination with hierarchical spreading/aggregation via location and product hierarchies, and subsequent manual user adjustments, have been a standard means by which retailers and the software vendors who serve them have created demand forecasts. The forecasts so produced are and were used as inputs to store and vendor replenishment, regular and markdown pricing, and other downstream decision support systems. The rise of machine learning — the advent of high-powered commercial product recommender systems such as books at amazon book and movies at netflix, of powerful search (e.g., google), text processing (e.g., Facebook) and sentiment analysis capabilities, IBM Watson, self-driving cars and the like — is real phenomenon based on academically-sound and industrially-proven techniques whose application to retail demand forecasting is ripe.
Semiconductor industry demand forecasting using custom modelsrrhm90
I recently had the opportunity to work with Tony Alvarez on a forecasting project for a major display manufacturer where Tony served as COO. Hope you enjoy our presentation!
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYCMLconf
Retail Demand Forecasting with Machine Learning: For over two decades, time-series methods, in combination with hierarchical spreading/aggregation via location and product hierarchies, and subsequent manual user adjustments, have been a standard means by which retailers and the software vendors who serve them have created demand forecasts. The forecasts so produced are and were used as inputs to store and vendor replenishment, regular and markdown pricing, and other downstream decision support systems. The rise of machine learning — the advent of high-powered commercial product recommender systems such as books at amazon book and movies at netflix, of powerful search (e.g., google), text processing (e.g., Facebook) and sentiment analysis capabilities, IBM Watson, self-driving cars and the like — is real phenomenon based on academically-sound and industrially-proven techniques whose application to retail demand forecasting is ripe.
Semiconductor industry demand forecasting using custom modelsrrhm90
I recently had the opportunity to work with Tony Alvarez on a forecasting project for a major display manufacturer where Tony served as COO. Hope you enjoy our presentation!
Data Science : Make Smarter Business DecisionsEdureka!
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. A Data Scientist deals with all the phases of data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
A basic presentation of how we can use Machine learning to sort out different problems faced by supply chain management and How we can also use it to model Inventory management.
A business level introduction to Artificial Intelligence - Louis Dorard @ PAP...PAPIs.io
Artificial Intelligence and Machine Learning are becoming increasingly accessible. Starting from example use cases, I’ll aim at demystifying how they work and how they improve businesses in 3 areas: increasing the number of customers, serving them better, and serving them more efficiently. I’ll show how machines can use data to automatically learn business rules and make predictions, that can then be used to make better decisions. I’ll introduce the main concepts of ML, its possibilities, its limitations, and I’ll give tips on framing the right problems for your company to tackle.
Louis Dorard is the author of Bootstrapping Machine Learning, a co-founder of PAPIs, and an independent consultant. His goal is to help people use new machine learning technologies to make their apps and businesses smarter. He does this by writing, speaking and teaching.
機器學習速遊 (Quick Tour of Machine Learning)
機器學習旨在讓電腦能由資料中累積的經驗來自我進步,近年來已廣泛應用於資料探勘、計算機視覺、自然語言處理、生物特徵識別、搜尋引擎、醫學診斷、檢測信用卡欺詐、證券市場分析、DNA序列測序、語音和手寫識別、戰略遊戲和機器人等領域。它已成為資料科學的基礎學科之一,為任何資料科學家必備的工具。
這門課程將由台大資訊工程系林軒田教授利用短短的六個小時,快速地帶大家探索機器學習的基石、介紹核心的模型及一些熱門的技法,希望幫助大家有效率而紮實地了解這個領域,以妥善地使用各式機器學習的工具。此課程適合所有希望開始運用資料的資料分析者,推薦給所有有志於資料分析領域的資料科學愛好者。
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
A short presentation for beginners on Introduction of Machine Learning, What it is, how it works, what all are the popular Machine Learning techniques and learning models (supervised, unsupervised, semi-supervised, reinforcement learning) and how they works with various Industry use-cases and popular examples.
Data Science : Make Smarter Business DecisionsEdureka!
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. A Data Scientist deals with all the phases of data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
A basic presentation of how we can use Machine learning to sort out different problems faced by supply chain management and How we can also use it to model Inventory management.
A business level introduction to Artificial Intelligence - Louis Dorard @ PAP...PAPIs.io
Artificial Intelligence and Machine Learning are becoming increasingly accessible. Starting from example use cases, I’ll aim at demystifying how they work and how they improve businesses in 3 areas: increasing the number of customers, serving them better, and serving them more efficiently. I’ll show how machines can use data to automatically learn business rules and make predictions, that can then be used to make better decisions. I’ll introduce the main concepts of ML, its possibilities, its limitations, and I’ll give tips on framing the right problems for your company to tackle.
Louis Dorard is the author of Bootstrapping Machine Learning, a co-founder of PAPIs, and an independent consultant. His goal is to help people use new machine learning technologies to make their apps and businesses smarter. He does this by writing, speaking and teaching.
機器學習速遊 (Quick Tour of Machine Learning)
機器學習旨在讓電腦能由資料中累積的經驗來自我進步,近年來已廣泛應用於資料探勘、計算機視覺、自然語言處理、生物特徵識別、搜尋引擎、醫學診斷、檢測信用卡欺詐、證券市場分析、DNA序列測序、語音和手寫識別、戰略遊戲和機器人等領域。它已成為資料科學的基礎學科之一,為任何資料科學家必備的工具。
這門課程將由台大資訊工程系林軒田教授利用短短的六個小時,快速地帶大家探索機器學習的基石、介紹核心的模型及一些熱門的技法,希望幫助大家有效率而紮實地了解這個領域,以妥善地使用各式機器學習的工具。此課程適合所有希望開始運用資料的資料分析者,推薦給所有有志於資料分析領域的資料科學愛好者。
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
A short presentation for beginners on Introduction of Machine Learning, What it is, how it works, what all are the popular Machine Learning techniques and learning models (supervised, unsupervised, semi-supervised, reinforcement learning) and how they works with various Industry use-cases and popular examples.
S&OP Leadership Exchange: Profit Plan Gap ClosersPlan4Demand
866.P4D.INFO | Plan4Demand.com | Info@plan4demand.com
Every Company will have to manage "Gaps" in their Operating Plans. Understanding the key drivers of these gaps is critical to a robost S&OP Process.
Check out this webinar on-demand at http://plan4demand.com/Video-Profit-Plan-Gap-Closers
Broad Market Whitepaper Competition, Cost Control Compliance Strategies To...charles_3us
Companies seeking to compete in today’s business climate face more intense pressure
than in years past. Change is everywhere — from technology advances to regulatory and
compliance demands — and companies must be able to adapt in order to survive.
The results shown here illustrate that a well thought out and executed go to market
strategy can deliver real value to customers. QlikTech scores well in a variety of
areas but it tops the list when it comes to visual analysis, mobile BI and self service
features that serve for agility in BI projects. Compared to other Visual BI and Data
Discovery tools it has the best investment ratios when it come to licence fees,
external implementation spend and administrators needed per seat.
DIVERSITY AND CAREER PROGRESSION
The majority of black and minority ethnic employees describe themselves as ambitious but, as recent research reveals, despite years of equality legislation, racial discrimination still lingers on in the British workplace
The First Annual Killer Content Awards recognize organizations that have raised the
bar in content marketing tactics. Winners were formally honored at an awards ceremony
April 24, 2012 in New York City at The Times Center, during DemandGen Report’s B2B Content2Conversion Conference, an industry-first educational and networking event focused on helping B2B marketers develop, map, measure and optimize content marketing strategies.
Experiential Retail: New Data Reveals the Opportunities (and Challenges) of T...G3 Communications
Access the full event here: https://event.on24.com/wcc/r/1943213/38846AF00F46D5307C0D6A919EC74D9C
"Retailers across categories are rethinking their brick-and-mortar strategies, shifting from pushing sales to building communities. In fact, new data from Retail TouchPoints and TimeTrade reveals that more brands are experimenting with pop-ups, product launch events, influencer events and classes to drive in-store traffic, build local engagement and even drive bottom-line results. During this webinar, RTP and TimeTrade will provide an exclusive first look at the results, delving into:
• Trends in experiential retail, including top tactics, promotion and amplification trends, and more;
• Common challenges in experiential strategy and execution; and
• Missed opportunities and areas where retailers can improve."
Building Customer Success With Enhanced Employee EngagementG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1956171/6FBD87FB123A769E1C9499F4CDC6E922
"Successful retailers recognize that their front-line employees are much more than just shelf-stockers and cashiers: they are absolutely critical to creating the kind of unique, memorable customer experiences that differentiate a retail brand. Unless their employees feel that they are an engaged, vital part of the shopping experience, retailers are finding that it’s nearly impossible for them to execute on customer experience (CX) initiatives.
By tapping into the Voice of the Employee (VoE) — which involves collecting, managing and acting on employee feedback — and by linking it to Voice of the Customer (VoC) programs, retailers can get the data they need to enhance employee engagement. And with Millennials and Gen Z employees entering the workforce, their desire for finding connection and purpose at their jobs increases the necessity and value of such programs.
This Retail TouchPoints Connected Consumer Series webinar, sponsored by Medallia, will use real-world retailer examples to explore how VoE and VoC can be successfully linked, and how retailers can use the data and insights generated by these communication initiatives to build employee engagement, enhance the customer experience and boost the bottom line. Additionally, attendees will learn what’s needed to establish a VoE program; what to look for in a partner; and how best to use the information that the program generates to achieve desired business results."
Learn How Top Retailers are Winning the Last Mile With Delivery Experience Ma...G3 Communications
Access the full event here: https://event.on24.com/wcc/r/1959223/858371423C975CB61D19288C605A108C
"The last mile has become a customer experience battleground for retailers, but it’s one that brands can win. While Amazon has raised consumer expectations around delivery speed, what shoppers really want are delivery options tailored to their needs — including self-service options; visibility into where and how their delivery will arrive; and no-hassle resolution when issues do occur. Retailers that focus on last-mile improvements reap benefits such as higher NPS scores, increased AOV and greater customer loyalty.
In this Connected Consumer Series webinar from Retail TouchPoints, sponsored by Convey, attendees will learn how Delivery Experience Management (DEM) provides the single source of last-mile data and tools needed so that retailers can actively manage deliveries efficiently, at scale. Nearly 12% of all shipments encounter some kind of issue, from delays to damaged packages — retailers can either head off problems before they occur, or quickly resolve them to the customer’s satisfaction. With DEM, retailers can ensure customers get their orders how and when they expect, taking intelligent action to correct issues along the way and uphold brand promises.
DEM best practices from retailers including Grove Collaborative, Uncommon Goods and Neiman Marcus will illustrate how retailers can proactively turn around negative shipping experiences, and often avoid them altogether. Expert commentary from a leading industry analyst will identify key last mile challenges and reveal what retailers can do to address them, resulting in efficient transportation, top line growth, and happier customers."
Leveraging Omnichannel Trends for E-Commerce Marketplace SuccessG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1963090/8D083B7B55462D75E842E96A689457C3
"From Amazon opening physical stores to Facebook opening a marketplace, the retail world is changing. Fast. And consumer behavior is the driving force behind much of that change. Brands and retailers have shifted toward “omnichannel” strategies across the retail landscape to target the increasing number of consumer touchpoints as well as the convergence of channels, business models and customer experiences. But e-commerce marketplaces are still a vital part of this changing landscape.
In this webinar, we’ll talk about recent consumer trends and specifically how brands and retailers can leverage e-commerce marketplaces to capitalize on them.
You’ll learn:
• An overview of omnichannel 2.0: Stores, delivery, mobile and voice
• Why marketplaces fit in well with current omnichannel trends
• Which domestic and international marketplaces you should consider
• How to win on marketplaces through more visibility
• And more"
The Store is Media: Reengineering Frontline Teams for the New Age of RetailG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1963727/632C5E2064B82920B10916ACEA80499E
"The physical store is by far the most powerful media channel your brand has - a living, breathing, experiential story about your brand, your values and the things you sell. The new role of stores is not simply to distribute products, but to distribute remarkable and memorable experiences. The question is, who are the people entrusted with bringing your brand story to life? What cultural onboarding, training, skills and tools do your frontline staff need in order to be your stand-out storytellers - the trusted voice and face of your brand.
Join us on April 2 to learn how pioneering brands are reengineering their frontline teams for the new age of retail where the customer is king and experience is everything."
Access the full event here: https://event.on24.com/wcc/r/1828218/4A38B85D06648AB3305659E6CBC56924
This session will provide a blueprint of how top brands are integrating ecommerce, POS and order management to provide seamless a shopping experience across channels. By providing scenarios of real-life shopping journeys, the session would highlight how retail brands are using cloud systems to innovate and keep up with fast-moving market dynamics.
Customer Journey Mapping 2.0: Best Practices for Creating Differentiated Expe...G3 Communications
Access the full event here: https://event.on24.com/wcc/r/1830314/96CA67060DE107FBB5BB20AE05F86E56
"Let’s face it, customers don’t care about ""omnichannel"" - they just want a seamless and unified experience relevant to their needs. To meet customer expectations, retailers must consider the entire customer journey in their acquisition and retention strategies to optimize life time value. In this session, we will explore how to use customer journey mapping to design differentiated experiences across all customer-facing channels and share best practices for achieving a truly unified and seamless retail approach.
During this webinar we will discuss:
• The importance of customer journey mapping in today's retail world
• When and how to use customer journey mapping
• Architecting your customer journey map - the structure, data and process "
Location Intelligence - A Critical Tool in Retail Performance ManagementG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1816077/DFF9ECD078983862B13E8F3DA3C7144A
Retailers have more data at their disposal than ever before. Every day new sources and types of data become available. It is critical that retailers are able to consume and analyze this data in order to understand the discrete success factors that drive store success. Location Intelligence combined with leading edge data science is how best in class retailers are finding insights they need to drive growth in today’s Unified Commerce environment. Join Gary Sankary from Esri and Joe Whitley from Environics Analytics to learn how advances in GIS technology and DataScience are enabling retailers to create interactive management decision support tools that that drive top line growth and bottom line performance.
Holiday Predictions: What to Expect Based on Data From 500 Million ShoppersG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1817452/02D1B9BC132DB9B7D2D14665CC4B815D
The first in a succession of monthly holiday-focused webcasts, this session will help retailers prepare for the holiday shopping season ahead. Stay tuned for related online events in Q4 2018 and the anticipated Holiday Wrap Up in Q1 2019!
It’s the happiest time of the year, but it’s the busiest too, particularly for retailers. Every year, Salesforce analyzes data from 500 million shoppers to develop insights related to shopping behaviors during the holiday season. Last year, shoppers favored mobile to search for and purchase holiday gifts. AI-powered product recommendations demonstrated their value, driving a lift in overall transaction size for digital commerce. And every holiday season brings an element of surprise, such as the growing adoption of mobile combined with physical stores opting out of store hours on Thanksgiving Day or Black Friday.
Tune in to hear about what’s in store for retailers this holiday season and what retailers must do to capture the hearts, minds and wallets of today’s sophisticated shoppers. Listen to Salesforce’s Rick Kenney, Sr. Director, Industry Strategy and Insights and Caila Schwartz, Business Intelligence Senior Analyst, discuss shopper research trends and how to create impactful shopping experiences to set your business up for holiday success.
How to Leverage Funnel Metrics and Attribution Data for Your 2019 PlanningG3 Communications
Access the full event here: https://event.on24.com/wcc/r/1857248/435508AB175DDF720B1F0B902B23DB52
Believe it or not, it’s that time of year again.
Annual planning is a huge undertaking - laying out strategy and tactics to achieve your goals in the new year. But where should you start?
Start with the Full Circle Method: Planning, Achieving, Optimizing, and Evaluating. At the intersection of strategy, planning, and measurement, these four steps will help you study your breakthroughs and busts in 2018 and use those insights to plan for an amazing 2019. Come learn how successful companies have leveraged this data-driven framework to optimize their strategy, powered by funnel metrics and attribution data.
After this session, you will be ready to:
Derive insights from past campaign performance to plan next year’s campaigns
Layout a 4-part strategy to reach your goals
Create a marketing budget to support your 2019 objectives
With these tools, dive into your 2019 planning with confidence - following practical next steps and a proven success strategy.
Five Examples That Prove Personalized Marketing Doesn't Start with "Hello [Fi...G3 Communications
Access the full event here: https://event.on24.com/wcc/r/1851123/DEA043797F4B69BB82731C9B36A9B172
Everyone talks about the importance of personalizing the customer experience. But what does that really mean? Sure, you can greet people by name in email, but that feature has been around for a decade already. Today’s customer experience is bigger than email, and to your customer, true personalization is about
so much more than seeing their name.
After this session, you’ll be able to:
Identify new ways to personalize across your entire customer experience, including and beyond email
Maximize the most valuable customer data that exists in your different tools and systems
Strategize and coordinate with your internal teams to deliver more relevant, accurate, and productive customer and lead nurturing
The Payoffs of a Strategic Content Audit: The Gift That Keeps Giving for Unli...G3 Communications
Access the full event here: https://event.on24.com/wcc/r/1861706/5433650BDB199FF227EC5D4E2F2E72BC
"Does the task of identifying what existing content you can use for a new campaign bring on a cold sweat? Can you justify the cost of new content, without knowing exactly what you’ve got on hand? Content audits are the gifts that keep on giving, unwrapping new opportunities as you analyze the results and identify opportunities for targeting existing and new personas; diversifying your formats; and identifying neglected buying stages. The results of a custom audit can go further to give you laser focus on a specific campaign, a trending topic, or a new theme or persona. Presenting the results of a content audit can also help educate stakeholders and gain support for making investments in content marketing best practices.
Join Content4Demand and JLL to see how JLL examined its existing content to mine the gems it could use for its upcoming Future of Work (FOW) campaign.
Christine Elliott and Dana Harder will walk viewers through JLL’s successful custom content audit and discuss its value, including:
The importance of an audit as a foundational element for a cost-effective and best-in-class content strategy
The importance of identifying critical audit criteria to align to the desired outcomes
Content to be used for upcoming demand generation campaign
Providing data and insights on how content aligns to five campaign dimensions, service lines, and other strategic initiatives (like client maturity)
How the audit helped align existing content to the five Future of Work campaign dimensions and used scoring to determine depth of relevance
How applying additional custom criteria can create audit results that become a strategic weapon in advancing key marketing initiatives
JLL was able to instantly see where to allocate budget for new content development to achieve multiple campaign objectives.
Ready to uncover the secret treasures in your content library? Register for the webinar and learn to mine your content for a complete campaign.
Access the full event here: https://event.on24.com/wcc/r/1800767/5BE4BCB5AE64B938308E14343DA3B309
Learn how taking a truly partner-first approach pays off in the channel. Channel marketing and management expert Cameron Avery shows you how to engage and enable partners across their journey with modern digital marketing tactics that put their business in the spotlight. Join us to see how purpose-built tech plus a partner-first approach from start to finish delivers more revenue and ROI for you.
Accelerate Your Partners' Digital Transformation With Point-Based RewardsG3 Communications
Access the full event here:
https://event.on24.com/wcc/r/1812978/8E56FF06B70D20F23162F0F26D49402F
In the digital age, the partner is in the driver's seat as they build the full solutions the customers are expecting. If you are looking to recruit, engage, empower, motivate, manage and support solution provider partners to grow sales, you'll need to adopt a lifecycle approach.
Mimicking the customer journey, the partner journey is defined as the complete sum of experiences partners go through when interacting with a vendor. Also like the customer buying-decision, data shows about 60% of a solution provider’s decision on what products to market, sell and support is completed before they engage in a vendor’s enrollment process.
Join us to discuss data around the partner journey:
Awareness: 70% of partners learn about new technologies via vendor events;
Consideration: On average partners consider 2 - 3 vendors against each other;
Decision: Technical evaluation is the most important element in their decision to bring on a new vendor;
Experience: People affect the experience the most (infrastructure second); and
Growth: On average, partners drop 10% of their vendors each year.
Access the full event here:
https://event.on24.com/wcc/r/1812978/8E56FF06B70D20F23162F0F26D49402F
In the digital age, the partner is in the driver's seat as they build the full solutions the customers are expecting. If you are looking to recruit, engage, empower, motivate, manage and support solution provider partners to grow sales, you'll need to adopt a lifecycle approach.
Mimicking the customer journey, the partner journey is defined as the complete sum of experiences partners go through when interacting with a vendor. Also like the customer buying-decision, data shows about 60% of a solution provider’s decision on what products to market, sell and support is completed before they engage in a vendor’s enrollment process.
Join us to discuss data around the partner journey:
Awareness: 70% of partners learn about new technologies via vendor events;
Consideration: On average partners consider 2 - 3 vendors against each other;
Decision: Technical evaluation is the most important element in their decision to bring on a new vendor;
Experience: People affect the experience the most (infrastructure second); and
Growth: On average, partners drop 10% of their vendors each year.
How RingCentral Optimized Account-Based Insights and Buyer Intelligence To Ra...G3 Communications
Access the full webcast here: https://dg-r.co/2L5QdrM
Data fuels every marketer’s strategy, but not all data is created equal. To be successful today, marketers need to be able to effectively analyze, optimize and maintain data accuracy as the first steps to gaining true insight. This is particularly true for account-based programs, where visibility into key decision makers is imperative. As the saying goes, “Garbage in, garbage out.” If the data going into your CRM is incomplete, incorrect or simply not the right data, any programs that rely on that data will deliver disappointing results.
During this webinar, David Cowings, Chief Marketing Data Scientist at RingCentral, and Chris Lynde, CEO of SaleScout Data Solutions, will share the steps needed to optimize buyer contact data and sales intelligence, with real-life insights from RingCentral’s demand gen data optimization process.
Engaging With Relevance At Scale: How Fluke Used AI To Transform Their Sales ...G3 Communications
Access the full webcast here: https://dg-r.co/2uiS82A
Fluke used AI-based insights to identify the right target accounts and engage them with hyper-personalized nurture and outbound using a combination of Lattice, Conversica and Eloqua – resulting in 48% higher engagement and greater opportunity creation in their target accounts.
Join our distinguished speakers to learn how Fluke used AI and data to improve segmentation and engage across different channels with hyper-personalized messaging.
Lessons From The State Of B2B Content Consumption & Demand Report And Real-Wo...G3 Communications
Access the full webcast here: https://dg-r.co/2LhxSVI
In this session, David Fortino, SVP of Audience and Product at NetLine, will discuss his observations on content consumption and demand based on findings from the company’s 2018 State of B2B Content Consumption and Demand Report. Fortino will dissect some of the stand-out data, such as consumption gap trends with C-level professionals and the significance of appealing to the larger active audience comprised of Individual Contributors.
The webcast will also feature Valerie Riley, Director of Marketing for ITProTV, who will share her experience and perspective on the efficacy of content syndication. Specifically, she will discuss:
* The challenges she faced to pilot a new, successful lead generation program prior to launching campaigns; and
* The winning strategy that led to over 1,500% ROI that can help other B2B marketers discover or expand their lead gen tactics.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
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4. Launched in 2007
Over 20,000 subscribers
To provide executives with relevant,
insightful content across a variety of
digital medium
Free subscription to our weekly newsletter:
www.retailtouchpoints.com/signup
5. FEATURED SPEAKER
SPEAKER
Brian Kilcourse Rafael Gonzalez Caloni
Managing Partner EVP Marketing
Retail Systems Research Predictix
Debbie Hauss
MODERATOR
Editor-in-Chief
Retail TouchPoints
6. Crystal Ball 2.0: The
State of Retail
Demand Forecasting
B RIAN K ILCOURSE
M ANAGING P ARTNER , RSR R ESEARCH
M AY , 2011
7. A LITTLE BIT ABOUT RSR…
Our Mission: To provide the best research in retail built on:!
Expertise gained through real world practitioner experience"
Objective views"
Unique, high value products & services"
Perspective: industry view from consumer to source"
Focus on customer experience"
Because RSR is built entirely of retail veterans, we are the only
analyst firm that can truly provide:!
Genuine insight into business and technology challenges facing the extended retail
industry"
Thought leadership and advice on navigating these challenges for specific companies
and the industry at large"
8. Study Premise: “past results are
no predictor of future performance”
The statement “past results are no predictor of future performance” is almost
a cliché when it comes to both financial performance and retail trends, as proved
by the recent economic downturn. As retailers add more optimization capabilities
to everything from assortment planning to pricing to space management and
replenishment, both the sophistication and the role of demand forecasting present
new opportunities for retailers."
RSRʼs first annual benchmark study into retailersʼ demand forecasting capabilities
explored how changes in the business cycle and in channels have impacted the
discipline. We wanted to identify:"
• Whether forecasting accuracy has improved!
• Whether the output of a demand forecasting integration with various parts
of the retail organization is improving!
• Whether retailers think it is possible to have a single demand forecast for
everything and why or why not – and how close they come to their ideal.!
9. The Growing Importance of
Demand Forecasting
Demand Forecasting's Importance
Over the Last 3 Years
Unchanged
12%
Grown
less
important
3%
Two events have catapulted Demand Grown
more
Forecasting in importance:
important
85%
#1 The Recession
#2 Focus on The Customer
9
10. Business/financial 53%
43%
planning 62%
63%
Supply chain planning 60%
67%
Merchandise financial 49%
Everything
50%
planning 46%
37%
Assortment planning 37%
33%
20%
Space planning 13%
All
26%
Size planning & 16%
13%
optimization
Winners
18%
Pack planning 16%
10%
& optimization
Others
21%
Price planning 23%
20%
Demand Forecasting Touches
& optimization 23%
Where Demand Forecasting is Currently Used
32%
Markdown pricing 27%
36%
existed as isolated pockets within siloed organizations.
16%
Channel planning 13%
18%
in their demand forecasting abilities, up until now those abilities have
55%
But, while there are areas where retailers have grown fairly sophisticated
Replenishment 60%
54%
10
11. Very Different Attitudes About What
“One Version Of The Truth” Means
(But No One Attitude Prevails….)
Forecast Attitudes
Winners Others
Different uses require different forecasts that
43%
should then be reconciled across the
32%
enterprise.
A single demand forecast is critical to 17%
achieving a “single version of the truth” 38%
A single source for forecasts, or a
27%
consolidated forecast, is the best way to get
12%
to "one version of the truth"
A single demand forecast is impossible to 7%
achieve 10%
A single demand forecast isn’t as important 7%
as a single set of demand assumptions 8%
11
12. Not Surprisingly, Winners
Have Improved
Forecast Accuracy Over the Last 3 Years
Winners Others
70%
Grown more accurate
40%
17%
Stayed the same
48%
3%
Don't know
10%
10%
Grown less accurate
2%
12
14. The Top Challenge:
Recession-Era Promotional
Activity To Trigger Demand
Top-3 Business Challenges of Demand Forecasting
All Winners Others
42%
Recent economic factors make it exceedingly
38%
difficult to forecast demand
46%
40%
Too many promotions in the marketplace make
54%
demand difficult to forecast
31%
32%
Fragmentation of demand makes it difficult to
38%
forecast an accurate aggregate picture
29%
31%
Consumer behavior has fundamentally shifted and
23%
we haven’t figured it out yet
37%
27%
Seasonal and erratic sales patterns 19%
31%
14
15. The Forecasting Challenge Closely
Reflects Another Challenge: The
After-Effects Of Aggressive Pricing
To Trigger Demand
Top Three (3) Business Challenges Driving Pricing Strategies
2011 2010
Increased price sensitivity of consumers 58%
46%
Increased pricing aggressiveness from 48%
competitors 38%
Increased price transparency - the impact of 40%
comparative price shopping 11%
Need to protect our brand's price image 38%
28%
Increased promotional intensity of competitors N/A
32%
Need to provide consistency in price across 32%
channels 6%
Need to provide more localized pricing 14%
7%
Respond to segment blurring 10%
16%
Source: Optimizing Price in a Transparent World,
Benchmark Study, RSR Research, April 2011
15
16. Aggressive Pricing + Transparency =
Increased Price Sensitivity =
Difficulty Forecasting Future Demand
Forecast Types That Present A "Major Challenge"
Winners Others
54%
Price sensitivity
39%
42%
Promotions
53%
42%
Long term forecasts
50%
38%
New product introductions
47%
33%
Assortment sensitivity
29%
16
17. Winners Are Most Keenly Aware
Of The Omni-Channel Effect
Operational Challenges ("Major Challenge")
Winners Others
Difficulty in capturing cross-channel events that 42%
affect customer behavior and channel demand 21%
Information lags or “holes” both on the supply
42%
chain side, sales side, or the marketing/
45%
promotions side
Un-integrated multiple demand signals in 38%
planning and logistics 41%
A “throw it over the wall” mentality across
31%
assortment, price, promotions, space, and
32%
replenishment planning
Poor understanding of customer behavior by 31%
channels 29%
Inconsistent or non-existent in-process forecast 31%
performance metrics 47%
17
19. The Best Near-Term Opportunity:
Getting Better
Value vs. Challenge of Forecast Accuracy by Forecast Type
Very Valuable Major Challenge
Long term forecasts 68%
46%
New product introductions 65%
44%
Promotions 60%
47%
Baseline demand (continuity goods) 59%
12%
Price sensitivity 53%
45%
Short term forecasts 46%
21%
Seasonal items 42%
28%
Assortment sensitivity 36%
30%
Markdowns 33%
25%
Short lifecycle items 26%
30%
Intermittent items 16%
21%
19
20. Directionally, Most Retailers Agree – Except
About The Omni-Channel Effect (And What That
Might Mean To The S/C Network Design)
Opportunities to Overcome Forecast Accuracy Challenges
("A Lot of Value")
Winners Others
A forecast suitable for multiple situations (new products, 81%
promotions, end of life, etc.) 52%
A single view of demand, inventory, and supply across the 81%
supply chain and all selling channels 68%
76%
An integrated forecasting infrastructure 63%
71%
Better forecast models to reduce forecast error 67%
62%
Improve execution to better respond to changes in demand 53%
Optimize inventory investment to reduce the portion of 52%
inventory that is stocked for protection against demand 55%
variability 52%
Improved cross-channel demand forecasts 13%
48%
A single demand forecast 42%
40%
Supply and distribution network redesign 16%
Inventory postponement strategies to increase flexibility 33%
(for example, “manufacture to order”) 37%
25%
Reduce or even eliminate delivery “latency” 19%
22. Top Inhibitors…
For Winners, the top inhibitors have to do
with siloed activities that are disconnected
to the hyper-competitive realities of today’s
retail landscape;
For Others, it’s the system….
23. Top Organizational Inhibitors
Winners Others
55%
Purchase of supply is disconnected from fulfillment of demand
31%
Our current solution has difficulties with challenging forecasting
50%
problems (such as promotions, new product introductions, short
41%
lifecycle products, intermittent items)
The “80/20” rule: 20% of our forecast challenges take up 80% of our 30%
time 34%
Our processes prevent us from responding quickly to changes in 30%
demand 34%
Our systems prevent us from forecasting at a low enough level of 30%
granularity 38%
Getting consensus between departments involved in developing 25%
forecasts takes too long 21%
Time and investment required to replace our current forecasting 25%
system 34%
Organizational differences prevent us from working well together to 20%
meet demand 28%
Demand management is built around stores; doesn’t work well for 20%
other channels 14%
Restrictions in how we replenish prevent us from taking advantage of 20%
demand 17%
We cannot tell how new marketing initiatives in non-store channels 15%
such as social media is affecting demand in stores 24%
24. Top Organizational Inhibitors
Winners Others
55%
Purchase of supply is disconnected from fulfillment of demand
31%
Our current solution has difficulties with challenging forecasting
50%
problems (such as promotions, new product introductions, short
41%
lifecycle products, intermittent items)
The “80/20” rule: 20% of our forecast challenges take up 80% of our 30%
time 34%
Our processes prevent us from responding quickly to changes in 30%
demand 34%
Our systems prevent us from forecasting at a low enough level of 30%
granularity 38%
Getting consensus between departments involved in developing 25%
forecasts takes too long 21%
Time and investment required to replace our current forecasting 25%
system 34%
Organizational differences prevent us from working well together to 20%
meet demand 28%
Demand management is built around stores; doesn’t work well for 20%
other channels 14%
Restrictions in how we replenish prevent us from taking advantage of 20%
demand 17%
We cannot tell how new marketing initiatives in non-store channels 15%
such as social media is affecting demand in stores 24%
25. Top Organizational Inhibitors
Winners Others
55%
Purchase of supply is disconnected from fulfillment of demand
31%
Our current solution has difficulties with challenging forecasting
50%
problems (such as promotions, new product introductions, short
41%
lifecycle products, intermittent items)
The “80/20” rule: 20% of our forecast challenges take up 80% of our 30%
time 34%
Our processes prevent us from responding quickly to changes in 30%
demand 34%
Our systems prevent us from forecasting at a low enough level of 30%
granularity 38%
Getting consensus between departments involved in developing 25%
forecasts takes too long 21%
Time and investment required to replace our current forecasting 25%
system 34%
Organizational differences prevent us from working well together to 20%
meet demand 28%
Demand management is built around stores; doesn’t work well for 20%
other channels 14%
Restrictions in how we replenish prevent us from taking advantage of 20%
demand 17%
We cannot tell how new marketing initiatives in non-store channels 15%
such as social media is affecting demand in stores 24%
26. But, Retailers Agree: Better Tech
IS A Key To Overcoming
Inhibitors Overcoming Inhibitors ("Very Valuable")
Winners Others
Technologies that enable better monitoring of changes in 74%
demand or deviations from forecasts 64%
Technologies that produce better forecasts for challenging
74%
events (promotions, new product introductions, intermittent
59%
items, short lifecycle items)
Executive-level support of more coordinated demand 70%
management processes 69%
67%
Technologies that enable more granular demand forecasts
43%
A stronger demand management process, to sync forecasts 63%
with sales & ops plans 41%
55%
More management-by-exception analysis capabilities
41%
Technologies that facilitate forecast consensus building 50%
between departments 28%
New or improved KPIs to measure not only forecast accuracy
47%
and service levels, but also process measures like number of
34%
forecast adjustments
Cross-channel fulfillment processes to make all inventory 33%
available in every channel 14%
Process changes to allow greater flexibility in responding to 26%
demand 41%
26
27. But, Retailers Agree: Better Tech
IS A Key To Overcoming
Inhibitors
Overcoming Inhibitors ("Very Valuable")
Winners Others
Technologies that enable better monitoring of changes in demand or 74%
deviations from forecasts 64%
Technologies that produce better forecasts for challenging events
(promotions, new product introductions, intermittent items, short
74%
59%
lifecycle items)
Executive-level support of more coordinated demand management 70%
processes 69%
Technologies that enable more granular demand forecasts 67%
43%
A stronger demand management process, to sync forecasts with sales 63%
& ops plans 41%
More management-by-exception analysis capabilities 55%
41%
Technologies that facilitate forecast consensus building between 50%
departments 28%
New or improved KPIs to measure not only forecast accuracy and
47% Let’s Take
service levels, but also process measures like number of forecast A Look
34%
adjustments
Cross-channel fulfillment processes to make all inventory available in 33%
every channel 14%
Process changes to allow greater flexibility in responding to demand 26%
41%
27
28. The Use Of KPI’s Lags Their
Perceived Value – By a Long
Shot! Value vs. Use of Forecast KPI's
Very Valuable In Use Today
Improved margins per category, sub-category, item 79%
58%
Increased Turns per category, sub-category, item 76%
29%
Lower Inventory Carrying Costs 69%
38%
Forecast Accuracy 66%
38%
Lower Out of Stock rates 65%
46%
Improved sales per category, sub-category, item 65%
31%
Lower Inventory Investment 62%
10%
More efficient forecasting process (staff productivity) 60%
6%
Fewer forecast adjustments 58%
6%
Reductions in inactive stock 52%
6%
Better yielding investment in safety stock 50%
10%
Fewer forecast exceptions 48%
4%
Improved Replenishment cycle time 42%
4%
Faster Order-to-delivery cycle rates 35%
28
4%
32. Tier 1 vs. Tier 2:
Different Problems To Overcome
The Top Organizational Inhibitors
T1 Mid
Our current solution has difficulties with challenging forecasting
61%
problems (such as promotions, new product introductions,
short lifecycle products, intermittent items)
30%
The “80/20” rule: 20% of our forecast challenges take up 80% 35%
of our time 40%
Our processes prevent us from responding quickly to changes 35%
in demand 40%
Time and investment required to replace our current 35%
forecasting system 30%
30%
Purchase of supply is disconnected from fulfillment of demand
40%
Organizational differences prevent us from working well 30%
together to meet demand 0%
Getting consensus between departments involved in 26%
developing forecasts takes too long 10%
Our systems prevent us from forecasting at a low enough level 22%
of granularity 70%
33. RSR recommends four steps:
• Examine Forecasting as a Stand-Alone
Process
• Every Process Requires an Owner
• Should Disconnected Forecasting
Processes Remain Disconnected?
• Don’t Rely on the Technology to Force
Process Change
33
42. Your
GoToWebinar
A/endee
Viewer
is
made
of
2
parts:
1.
Viewer
Window
2.
Control
Panel
Type
your
quesAon
here
43. FEATURED SPEAKER
SPEAKER
Brian Kilcourse Rafael Gonzalez Caloni
Managing Partner EVP Marketing
Retail Systems Research Predictix
Debbie Hauss
MODERATOR
Editor-in-Chief
Retail TouchPoints
44. For a free copy of RSR’s May
2011 Benchmark Report:
Crystal Ball 2.0: The State of
Retail Demand Forecasting
http://www.rsrresearch.com
45. You can download this presentation here:
http://rtou.ch/Crystal-Ball
Contact Info:
Brian Kilcourse
bkilcourse@rsrresearch.com
Rafael Gonzalez Caloni
rafael.gonzalez@predictix.com