How AI is gonna change the eCommerce landscape till 2020 - ecommday2017 presentation

- AI will transform the role of merchants by providing "software-as-a-coach" to empower them through tools like automated price optimization and recommendations based on experimentation. - Amazon has increasingly automated retail tasks like forecasting, ordering, and pricing using algorithms, initially allowing humans to override but now discouraging overrides as the machines prove more precise. - Dynamic pricing experiments run by AI at the shelf-edge level can uncover "magic price points" and track performance at the item and category level to balance sales and margins toward objectives.

How retailers prepare for and handle the holiday shopping season is often a sign of what is to come in the industry. Retailers bring in huge revenues during the final quarter of the year as consumers rush out to purchase gifts for one another. As a result, the months spent preparing for the holiday shopping period are often indicative of the most important developments in the retail sector. This year is no exception. The National Retail Federation predicted that retail sales in November and December will total between $682 billion and $655.8 billion this year. These sales projections represent a year-over-year increase of between 3.6 percent and 4 percent. With significant growth coming in this year’s holiday season, retailers are working hard to prepare for the high volume of sales and heated competition on its way. Let’s explore the themes coming out of the build-up to this year’s holidays and look at what they mean for the overarching evolution of the retail sector. Learn more about digital transformation in retail > http://ap.pn/2C2M2or

1) B2B buyers have become omnichannel in their purchasing, using 10 or more channels, while sales organizations are adjusting to this change. 2) Technology could better enable both buyers and sellers by providing expertise on demand and analytics to prioritize efforts. 3) Companies may consider accelerating their adoption of sales technologies to improve performance metrics like revenue, pipeline conversion, and time to close, which could represent an added competitive advantage.

Presentation from NRF 2019 Retail's Big Show Ian Hutchinson, Head of Business Development B2B Mobile for Retail John Soricelli, Director, Technology Analytics, The Home Depot Uzma Rauf, Senior Director, Consumer, Shopper and Market Insights, Samsung George Lawrie, Vice President & Principal Analyst, Forrester

Retailers generate petabytes of data from various devices that can provide customer insights. Analyzing both internal and external open data sources like social media can help retailers better understand customers and their shopping behaviors. Correlating sales data with life events like pregnancies found in birth registries allowed one retailer to predict a customer's pregnancy before even her father knew.

The document discusses three big ideas for the future of retail: make the store a destination by offering novel experiences, maximize intelligence by uncovering customer and business insights, and build a programmable store to enable agility and experimentation. It describes how Cisco DNA Spaces can help retailers digitize their physical spaces by using wireless connectivity to see, act on, and extend insights about customers and inventory in stores. The document promotes developing retail solutions using the Cisco DevNet Retail Developer Center.

Presentation from NRF 2019 Retail's BIG Show Jeff Huckaby, Global Segment Director, Retail, and Consumer Goods, Tableau Karen Hinson, Lead Analyst

This document discusses how leveraging artificial intelligence (AI) can help companies predict demand and enable just-in-time operations. It highlights how DataRobot's automated machine learning platform can help companies build hundreds of predictive models to optimize business processes across various functions like marketing, supply chain, and customer service. The document also notes that while AI has great potential, many companies struggle due to lack of data science expertise and resources to develop models at scale. Automated machine learning helps address this challenge by accelerating AI adoption and increasing a company's modeling capacity.

AI-driven solutions can piece together a variety of insights to automate ecommerce developments for easing the lives of users. Making informed decisions in a matter of seconds is what AI in ecommerce stands for.

Google Shopping has launched in Ireland, bringing new opportunities for Irish e-commerce retailers. To take advantage, retailers must register on the Google Merchant Center and provide accurate product data feeds that meet Google's requirements. Properly structuring Google Shopping campaigns and optimizing product feeds and bids can help retailers promote their products and drive sales.

Business-to-business marketing (or B2B marketing, as it is often called) involves the sale of one company’s product or service to another company; however, the world of B2B marketing is changing rapidly! Here are the top 5 myths revealed in recent findings which every B2B marketer should know.

E-commerce sales continue to grow, generating over $300 billion in the U.S. alone in 2015. But e-commerce still remains a small percent of overall retail sales at approximately 10%. So what can multichannel and ecommerce retailers do to increase their online sales? How would e-commerce look in 2018? What skills Solution Providers would need to support retailer's technology needs?

A starter's guide for Police Departments, Citizen Services Depts, Govt Dept.s.. on getting your social media strategy started

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.

This document discusses risks in retail and how to manage them. It contains the following key points: 1. Retail has become more complex with the rise of online shopping and expectations of fast delivery and easy returns, creating new risks around inventory, fraud, and fulfillment. 2. Managing risks effectively requires integrating store inventory and fulfillment into the online order process through approaches like ship-from-store, in-store pickup, and multi-node fulfillment networks. 3. Adopting modern order management systems is important to gain visibility and control over the fulfillment process and meet rising consumer expectations. Fraud management also requires balancing machine learning and human review to approve orders while minimizing losses.

These are the slides that I will be using as part of my discussion during this webcast on Feb 9, 2016: http://bit.ly/1RYuf7t

NRF 2019: Retail's Big Show David Bessis, Founder and CEO, Tinyclues Francois Laxalt, Sr. Dir., Product Marketing, Tinyclues

Les web analitycs présentés par Unica lors de la première WAW en France en mai 2008. http://www.referencement-blog.net/le-premier-webanalitycs-wednesday-en-france-waw-pour-les-intimes-217

E-commerce refers to the buying and selling of goods and services online. Analytics in e-commerce helps businesses optimize their websites, grow their customer base through marketing campaigns, and retain customers through predictive analytics. Predictive analytics can help e-commerce businesses enhance product recommendations, pricing, and supply chain management. A case study shows how Amazon plans to use predictive analytics for anticipatory shipping to ship items before orders are placed. Another case study outlines how Mu-Sigma helped a CPG company improve revenue management through a strategic revenue management platform integrating data from multiple sources. The future of e-commerce is expected to see continued growth in online sales and mobile commerce.

Discover 7 actionable ways to improve the conversion rate of your ecommerce website and boost your sales

In this presentation given to a group of attendees at the Market St. Louis Interactive Marketing Conference on April 1, 2010, I go over the basics of using Google Analytics to track activity on your site, increase conversion rate, gain business intelligence about your customers, and use alerts & reports to measure performance.

All-in-one innovative platform to collect and merge consumers data, built consistent communication and offers in all touchpoints, run deep-personalised promos and loyalty, use bidgata predictions to drive sales and customers satisfaction

Marketer accepts a 2% conversion rate as ‘good’, ignoring the effect on the 98% who do not convert. The customer is one of hundreds of thousands of targets, and is bombarded with irrelevant marketing. The Hybris Marketing suite enables real-time contextual marketing. Engage customers, delight them, and cultivate brand relationships by marketing to an audience of one.

This document provides an overview of a diploma course in digital marketing. It includes information about assessments, assignment deadlines, and references. The course covers topics like online and traditional marketing concepts, environmental factors impacting online plans, and digital media evolution. Students are asked to consider questions about various companies and digital marketing strategies.

This document provides information about a digital technology company that builds digital platforms for clients across industries. It discusses the company's 9+ years of experience, team of 180+ professionals, and locations in several countries. It then summarizes the company's offerings such as websites, mobile apps, digital marketing, and technology solutions. Finally, it provides examples of projects completed for clients like OLX, Naukri, Shell, DTDC, Eicher Motors, and others.

Omniconvert is a growth marketing platform for conversion rate optimization. It empowers eCommerce, lead generation, and SaaS marketers do A/B testing, web personalization, and surveys.

Integrated customer activations for FMCG using Customer Data Platform ( CDP ), Marketing Automation and receipts scanning