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Sergey Savastiouk's Avatar
published in Blogs
Mar 07, 2021

A.I. May Cut Costs, But It Can Also Spur Growth

Artificial intelligence has generated considerable press for its ability to improve efficiency, perform certain tasks at a speed and level of accuracy beyond human reach, and potentially save businesses on costs through automation. AI certainly offers a chance to save money and increase the bottom line, but what if thinking about AI only in terms of cost cutting paints an incomplete picture? Can AI not only save businesses money, but create value as well?

[[24]7.ai co-founder and CEO PV Kannan and business strategy author Josh Bernoff pose this question in a recent article for Barron’s, arguing that AI is more than a savings tool – its “real value…may well be in generating revenue and growth, not in cutting headcount.”

The value add from AI comes in the form of an improved customer experience, due in part to now-ubiquitous tools like chatbots. One notable success story comes courtesy of TGI Fridays, who offers “an irreverent, brand-appropriate chatbot available through Facebook Messenger and Twitter.” This millennial-geared tool is available for interaction 24/7 and has proven exceptionally valuable to the restaurant chain’s bottom line during business hours – it “has boosted the chain’s takeout orders by $150 million a year.”

But value isn’t solely derived from automation itself – the real driver is “getting rid of friction in customers’ interactions with companies.” Kannan’s company worked in conjunction with Dish Network to create an automated support bot called DiVA, which eventually handled “4 million customer interactions per year…[or] the most common 30% of customer questions.” Its ability to facilitate last-minute pay-per-view orders meant an additional $6 million in event revenue for Dish; it also provided “an infinitely patient and consistent machine that provides definitive answers 24 hours a day, 7 days a week” for Dish customers.

Virtual agents have proven efficiency benefits as well. Their capacity to sort through information within a pre-programmed set of parameters means a way to separate the wheat from the chaff in processes like identifying sales leads. Kannan cites inbound marketing and sales software developer HubSpot’s Facebook Messenger chatbot as one success story: the bot “suggests useful content, pre-qualifies leads, and connects prospects with HubSpot’s salespeople,” leading to a higher quality of sales lead – one that is “40% more likely to engage productively with a salesperson.” Virtual agents can also collect information in advance of an interaction with a human agent – rental car service Avis-Budget “[collects] five key pieces” before passing the customer to a human employee, like pick-up and drop-off times and locations, creating a smoother customer experience.

Businesses are enjoying the value of automation, but it is clear that viewing AI as a simple cost cutting tool is just a piece of the puzzle. Artificial intelligence can build a better customer experience – and companies in the know can reap the financial benefits from not just cuts, but the ensuing growth.

The Investment and Financial Industry Faces the Same A.I.-Driven Revolution

Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generate trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

  • Finding stock patterns in the market
  • Finding trends in the stock market
  • Testing portfolios to see if they are well-diversified
  • Back-testing statistics to see how different stock patterns generated trading results
  • Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Related Ticker: SPY

SPY in -1.43% downward trend, falling for three consecutive days on July 19, 2024

Moving lower for three straight days is viewed as a bearish sign. Keep an eye on this stock for future declines. Considering data from situations where SPY declined for three days, in of 249 cases, the price declined further within the following month. The odds of a continued downward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The 10-day RSI Indicator for SPY moved out of overbought territory on July 17, 2024. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 45 similar instances where the indicator moved out of overbought territory. In of the 45 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Momentum Indicator moved below the 0 level on July 19, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In of 65 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on July 18, 2024. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at .

SPY broke above its upper Bollinger Band on July 10, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Bullish Trend Analysis

The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 360 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 469 cases where SPY Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Fundamental Analysis (Ratings)

Fear & Greed

Tickeron has a positive outlook on this ticker and predicts a further increase by more than 1.00% within the next month with a likelihood of 86%.

Notable companies

The most notable companies in this group are Microsoft Corp (NASDAQ:MSFT), NVIDIA Corp (NASDAQ:NVDA), Apple (NASDAQ:AAPL), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Amazon.com (NASDAQ:AMZN), Meta Platforms (NASDAQ:META), Eli Lilly & Co (NYSE:LLY), Broadcom Inc. (NASDAQ:AVGO), VISA (NYSE:V).

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500® Index. The Trust seeks to achieve its investment objective by holding a portfolio of the common stocks that are included in the index (the “Portfolio”), with the weight of each stock in the Portfolio substantially corresponding to the weight of such stock in the index.

Market Cap

The average market capitalization across the SPDR® S&P 500® ETF Trust ETF is 112.81B. The market cap for tickers in the group ranges from 6.94B to 3.15T. MSFT holds the highest valuation in this group at 3.15T. The lowest valued company is AAL at 6.94B.

High and low price notable news

The average weekly price growth across all stocks in the SPDR® S&P 500® ETF Trust ETF was 16%. For the same ETF, the average monthly price growth was 38%, and the average quarterly price growth was 102%. WBD experienced the highest price growth at 17%, while DPZ experienced the biggest fall at -18%.

Volume

The average weekly volume growth across all stocks in the SPDR® S&P 500® ETF Trust ETF was 5%. For the same stocks of the ETF, the average monthly volume growth was -2% and the average quarterly volume growth was -27%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 61
P/E Growth Rating: 50
Price Growth Rating: 48
SMR Rating: 50
Profit Risk Rating: 44
Seasonality Score: 15 (-100 ... +100)
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