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Here are 4 ways your business can get ahead of the tech curve

The key to finding competitive advantage is by embracing innovation. So no matter how trivial or whimsical a technological development may seem, you’ll want to keep an open mind about what it can do for you. But for a small company, what does “embracing innovation” actually entail? Read on to learn more.

Be an early adopter

One of the biggest factors in determining how successful your SMB will be in leveraging a new trend is how early you get in. Be careful investing in resources with high buy-ins and/or long-term commitments. Focus instead on low-cost IT solutions that allow you to test and see how well they work for you, and also let you pull out without suffering heavy sunk costs.

Invest in the right tools

New tech can be expensive, so how can one take advantage of an emerging tech trend without spending too much? The trick is to repurpose existing tech to do the same thing as the new tech.

For example, John Deere has been selling farming equipment for over 150 years, with no signs of slowing down. When the Internet of Things (IoT) craze began, John Deere figured that IoT would change the way their vehicles serve their customers. But instead of shelling out money for new IoT devices, they simply used already-available mobile devices and GPS tech. This tactic allowed the brand to jump ahead of their competition, especially those who chose to wait out the decrease in price of new tech.

Synergize tech with your business model

With a little creative brainstorming, most business models can actually integrate new tech into their processes. For instance, at first glance, it appears that clothing retailers have no use for AI that has deep learning capabilities. But one particular AI application — chatbots — has proven to be effective in helping customers find the clothes they want. Here, deep learning directly drives sales.

Prepare for possible difficulties

New tech inherently comes with implementation and integration difficulties. But what if you can’t find a way for your products or services to directly interact with the blazing new trend? The next best thing is to provide solutions to problems presented by it. Does interacting with the popular app or activity eat up a lot of mobile device battery? Remind passersby that your outlets are available for customers, or that you sell mobile battery packs. Does it require driving all over town? Inform customers of your latest car rental promotion. Sometimes just associating yourself with the trend is enough.

Not sure how to integrate your business with the latest tech fads? Turn to us — we’re the experts on all things technology related, be it machine learning or Oculus Rift. No question is too trivial — consult with us today!

Published with permission from TechAdvisory.org. Source.

AI is a boon for eCommerce

Once the stuff of science fiction, artificial intelligence (AI) is currently on track to becoming a key part of modern businesses. According to experts, 2020 is the year that 85% of all customer interactions with a business will occur via machine learning programs. eCommerce businesses are among those that will benefit greatly from the use of AI to interact and serve their customers. Here’s how.

Predicting what your customers want

AI has many uses in eCommerce, benefiting both the business and the customers. For instance, machine learning, a subset of AI, can be used to identify customer habits and their interests based on search histories (both inside and outside of a specific business’s site).
With the proper configuration, machine learning can be used to analyze shopping behaviors to customize and tailor the online shopping experience to specific users. Product recommendations, pairings, and promotions can target individuals, improving the customer experience, and in turn, your bottom line.

“I’m looking for something a little more…”

Machine learning is also great for cataloging products. In the past, businesses would send out dense and cumbersome product catalogs where customers could find — often with difficulty — the items they were looking for.

Today, consumers are able to upload photographs of a product — say, an article of clothing — that’s similar to what they want to purchase or pair with another. Through AI, a website will be able to analyze the photographs and make suggestions based on data from the uploaded images.

Customers can still talk to a “representative”

More and more users are relying on eCommerce over face-to-face sales interactions, thanks to advances in “plain language” systems. Machine learning is getting better at interpreting conversations and answering with natural-sounding responses. By replicating the in-person shopping experience, eCommerce businesses can shift away from the overheads of brick-and-mortar stores. This will allow them to make significant savings in capital expenditures and human resources, all while reducing the opportunity for costly human error as well.

Published with permission from TechAdvisory.org. Source.

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