If Amazon opens mini department stores as rumored, they could include high-tech dressing rooms and the retailer's own private-label clothing brands, according to a Wall Street Journal report. The aim is apparently to address some of the normal irritants of clothes shopping, increase its own brand recognition and make the stores as efficient as possible. One idea is that customers would use a smartphone app to scan QR codes of items they want to try on. Associates would then gather the items and place them in fitting rooms, and the process could eventually become more automated with the use of robots. Once inside, you'd be able to ask for more clothes using a touchscreen, which could also recommend items you might like based on what you've chosen so far.

The Lipstick Index, as it's known, was a phrase coined by Leonard Lauder, chairman of the board at Estee Lauder, in the early noughties when it became clear in times of economic crisis, sales of color cosmetics - in particular lipstick - soar as an affordable way to treat yourself. Last year, sales of cosmetics plummeted. With bustling make-up counters in department stores closed for much of 2020, sales of designer brand cosmetics were down by more than 40% according to market research firm NPD, which equates to a loss of £500 million (around $689 million and AU$902 million). Meanwhile, sales of more affordable cosmetics in supermarkets fell by 22% in the UK, according to the Top Products survey from retail trade magazine, The Grocer, adding a further £183 million loss (around $256 million / AU$218 million). A combination of the rise of working from home and mandatory masks meant thousands of us, including this writer, ditched our make-up bags altogether.

This forecast is part of the Options Package, as one of I Know First's algorithmic trading tools. Package Name: Options Recommended Positions: Long Forecast Length: 7 Days (11/27/2020 – 12/5/2020) I Know First Average: 10.75% I Know First's State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Options Package for the 7 Days time period. KSS was our best stock pick this week a return of 22.27%. AA and CCL followed with returns of 16.5% and 13.56% for the 7 Days period. The package had an overall average return of 10.75%, providing investors with a 8.84% premium over the S&P 500's return of 1.91% during the period.

This forecast is part of the Top 10 Stocks Package, as one of I Know First's systematic trading tools. Package Name: Stock Forecast & S&P500 Forecast Recommended Positions: Long Forecast Length: 3 Days (12/1/2020 – 12/4/2020) I Know First Average: 13.95% The algorithm correctly predicted 10 out 10 of the suggested trades in the Stock Forecast & S&P500 Forecast Package for this 3 Days forecast. The prediction with the highest return was KSS, at 27.02%. CCL and MT also performed well for this time horizon with returns of 17.37% and 17.18%, respectively.

In today's tumultuous business-scape amid increasingly intricate, and often vexing, marketplace conditions, curating and mining data to drive analytics-based decision-making is no longer enough. For competing with maximum, sustained impact and mitigated opportunity loss, it's rapidly monetizing data that's now the name of the game--particularly when spurred by artificial intelligence (AI). Indeed, emerging AI methodologies are helping forward-thinking companies achieve and sustain true agility, fuel growth, and compete far more aggressively than ever before. AI is critical as a means toward those ends and also certainly with respect to aptly predicting, preparing, and responding to prospective crises as with the COVID-19 pandemic the globe is currently immersed in. In fact, Gartner recently cited the need for "smarter, faster, more responsible AI" as its No. 1 trend that data and analytics leaders should focus on--particularly those looking to "make essential investments to prepare for a post-pandemic reset."

In today's tumultuous business-scape amid increasingly intricate, and often vexing, marketplace conditions, curating and mining data to drive analytics-based decision making is just no longer enough. For competing with maximum, sustained impact and mitigated opportunity loss, it's rapidly monetizing data that's now the name of the game--particularly when spurred by artificial intelligence (AI). Indeed, emerging AI methodologies are helping forward-thinking companies achieve and sustain true agility, fuel growth and compete far more aggressively than ever before. AI is critical as a means toward those ends and also certainly with respect to aptly predicting, preparing and responding to prospective crises as with the COVID-19 pandemic the globe is currently immersed in. In fact, Gartner recently cited the need for "smarter, faster, more responsible AI" as its No. 1 top trend that data and analytics leaders should focus on--particularly those looking to "make essential investments to prepare for a post-pandemic reset."

NEW YORK – It would have been easy to turn on their computers at home over plates of leftover turkey and take advantage of the Black Friday deals most retailers now offer online. But across the country, thousands of shoppers flocked to stores on Thanksgiving or woke up before dawn the next day to take part in this most famous ritual of American consumerism. Shoppers spent their holiday lined up outside the Mall of America in Bloomington, Minnesota, by 4 p.m. Thursday, and the crowd had swelled to 3,000 people by the time doors opened at 5 a.m. In Ohio, a group of women was so determined, they booked a hotel room Thursday night to be closer to the stores. In New York City, one woman went straight from a dance club to a department store in the middle of the night.

Hundreds of online shopping options pop up, in more than a dozen shades, at a range of price points. Many of the packages can be shipped to you in two days or less. In other words, shoppers live in a golden age of convenience. We've got more access to more stuff than ever before, at cheaper prices and ever-more-instant speeds. And the businesses who hawk us that stuff? They've got unprecedented levels of data on us, and they're using it to target us in ever-more personalized ways. Patriotic fervor practically elevated consumerism to a religion after World War II, and today, we blur Jesus and Santa, ditch Thanksgiving for Black Friday, and mint new holidays (Cyber Monday) that give way to copycat holidays (Prime Day), all dedicated to buying stuff. Consumer spending on the "goods" portion of goods and services powers roughly one quarter of the economy, so it follows that retail is uber-susceptible to the technological, political, and economic forces that shape our society. Long ago, traveling peddlers were displaced by local merchants, who were supplanted by downtown department stores, which were upended by shopping malls, then big box chains, and now, the internet.

Amazon is increasingly claiming territory once held exclusively by department stores - and it's doing so again, essentially placing a dressing room in your house. The retail giant has officially launched service for Prime members that allows them to try on the latest styles before they buy at no upfront charge. Customers have seven days to decide what they like and only pay for what they keep. Amazon announced Tuesday, June 20, 2017, that it's testing a new service for its Prime members that lets customers try on the latest styles before they buy at no upfront charge, take seven days to decide and only pay for what they keep Shipments arrive in a re-sealable box with a pre-paid label for returns. The company had been gradually rolling out the service to Prime members in the US over the course of the year.

The notion of software agents has been around for more than a decade. Since its beginning, the definition of agent, like the definition of intelligence, has been quite controversial and often provoked hot discussions. Questions such as the following normally come up in such arguments: What is an agent? Should a piece of software be categorized as an agent by looking at its behavioral characteristics or by the methodology using which it was produced? Is a printer daemon an agent?