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Today, there are many different algorithms and ML-based types of computing that organizations use. These types of formulas, algorithms, and models that are used to make decisions about how to create and deliver solutions are huge. Building and deploying these models and algorithms can be extremely complex and time consuming. To minimize cost and time, there is actually an increasing need to use natural language processing for most the applications that you use across multiple platforms. The use of this technology has become increasingly important in terms of speed, efficiency, and accessibility. As an ecommerce platform, you don’t have to write the own SEO strategies or implement your internal products. Instead, you can use a smart technology like natural language processing to expedite the process.

The problem is that with the pace at which the technology is developing and expanding, many businesses or organizations have not gotten a high enough improvement on implementing these technologies. These issues were what a panel of experts with deep knowledge about ecommerce made known at the 2019 Ecommerce Education Conference in Boston. Ben Wysocki, CEO of SaaS Marketing Inc., gave the first keynote speech at the conference, “Using AI to Achieve And Achieve Impossible: Natural Language Processing in Retail. ” Ecommerce Academy CEO John McAndrews and iHeartRadio’s international vice president of data science, Alexa Laukkanen, also gave important keynote speeches. Their speeches addressed the use of their respective strategies in ecommerce. Together they covered a topic that is highly relevant today for anyone in the tech community, because it is a problem that needs to be solved.

The questions that Ben Wysocki addressed were:

In how much of today’s market do you think that companies are using these new technologies?

How has their adoption been changing over time? How easy is it to leverage these technologies for both scaling and achieving the highest ROI?

How might they be used in ecommerce more effectively? In a panel that was moderated by Alexis Mayer, founder of Ecommerce Academy, Bruce Cheadle, CEO of AdRoll, Doug Ingley, CEO of Booking.com, and Jake Hemingway, head of data analytics for Blue Door Research, the view was highly critical of how many companies are using these new technologies right now. Check out some highlights from their discussion in the video above.

BuzzFeed, Twitter, and Amazon are the companies that came to mind during the conversation. Any businesses/consumer products/tech enthusiasts out there think the conversation was hard to get going? Feel free to leave your comments below. “Organic search engines have very little efficacy in terms of returns. ” – Jake Hemingway, Blue Door Research

“If a product or service is common for people to search for and it’s not that intuitive or it’s more like a Gmail search where you filter your results by date or that’s why you can’t see how to navigate an email. ” – Cory Nelson, BuzzFeed

How natural language technology is affecting ecommerce in a less than ideal climate for creativity and creativity is what the discussion focused on. However, as Doug Ingley stressed, developers have also come up with some pretty cool ways to take advantage of this technology, like the Google Shopping feature on YouTube.

This nifty tool uses voice search to allow you to put whatever product you’re going to buy in your cart and never remember the part about typing your search in again. “Typically people look at the master list and put ‘Watches’ on and then they buy a watch. That will always be the master list. I don’t think people view the list as frequently as they should be putting things on. They look at a bunch of things and then they get the master list. The system does the rest of the work and that’s exciting.

I don’t think people realize that Amazon has sent you an email with all the products you can buy now. Most people don’t get through and move onto the next product. I think Amazon’s algorithms have gotten smarter. It has the ability to get you to a new product list. ” – Steve Terry, Commerce ity

Part of this recent shift could be due to the improved personalization capabilities in natural language engines. When Amazon Prime launched earlier this year, they introduced Amazon Key.

This feature allows people to let their dogs in the house with their smartphone and then it connects to the door handle so it has all the necessary data and information to go through and give them the proper delivery when they need it. Unfortunately, thanks to the fail whale, Amazon has yet to get their latest feature right. However, they are fixing up their login system. Amazon has made a new feature where shoppers can save details of their purchases and then only complete purchases once they have the purchase history. This feature is now live, but after some backlash from Alexa users over it not working in the first place, Amazon is working on it. Customers, like my roommates, have already faced issues while doing their Amazon taxes.

The image below shows what happens when Amazon has this new feature available to their buyers. One of the biggest benefits in today’s retail landscape has to be voice search technology. Technology companies have a lot of resources and brands have a lot of resources. “Voice search can be extremely complex at times. Having your Alexa interact with your phone means you have a range of data that you have to change and integrate. And sometimes you still have to get external resources to sync your data.

” – Bryan Belkin, Logitech

Having the right data to answer such complex questions is vital. If you do not have a voice assistant, also known as an Echo, you can still ask Alexa questions and she will suggest the right answer. Your Smart Home can be an even better resource for help. The Home Connectal allows you to control many connected gadgets in your home, like lights, appliances, door locks, to-go cup holders, water faucets, and pool water heaters, and yes, your Amazon shopping list. The data doesn’t have to be stored in Amazon. If you ask a question like “I want to buy this sweater here,” you could do so on any platform you desire.

You can even tell your smart home how long it’s been in your inventory, alerting Amazon if you don’t like the answer. This is a feature that Amazon plans to expand in the near future as well. This could also play a huge role for retailers in optimizing your data in a new and changing market. For more insights from our panel, check out our Q&A article with some of the speakers.

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