nmodes Is Helping Businesses to Succeed

sasha uritsky

Aug 16, 2014

With the launch of the new dashboard nmodes is helping businesses to drive traffic and grow sales.

For example, One of our clients needed to increase traffic to their website while at the same time improve the conversion rate. In other words, they wanted to see more quality traffic.

The client made a concentrated effort on social media, however they were having difficulties in finding the target audience - traditional keywords search resulted in too much noise and did not produce desired outcome.

nmodes dashboard simplified this client’s engagement process. We created a dedicated stream that accurately addressed their targeted audience. nmodes dashboard is actionable, so their engagement became easy. nmodes technology identifies potential customers accurately, and so their engagement became efficient.

As a result, the click thru rate rose up to 65%, traffic quality improved by 25%, and conversion increased to 6-8%

Another client relied heavily on mainstream dashboards (such as Hootsuite) These tools do not do a good job finding relevant conversations, in the process producing too much noise and forcing client’s community managers to spend long hours manually identifying these relevant conversations. The client manages multiple social account and this type of manual labour was impeding the business, both in terms of costs and efficiency.

nmodes produces highly accurate results in finding relevant conversations that do not require manual clean up. The client started using nmodes solution, and immediately freed a substantial amount of hours which enabled them to consecrate on servicing their customers and acquiring new ones.

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nmodes Technology - Overview

nmodes ability to accurately deliver relevant messages and conversations to businesses is based on its ability to understand these messages and conversations. Once a system understands a sentence or text, it can easily perform a necessary action, i.e. bring a sentence about buying a car to the car dealership, or a complaint about purchased furniture to the customer service department of the furniture company.

Understanding sentences is called semantics. nmodes has developed a strong semantic technology that stand out in a number of ways.

Here is how nmodes technology is different:

1. Low computational power. We don’t use methods and algorithms deployed by almost everyone else in this space. The algorithms we are using allow us to achieve high level of accuracy while significantly reducing the computational power. Most accurate semantic systems, e.g. Google’s, or IBM’s, rely on supercomputers. By comparison our computational requirements are modest to the extreme, yet we successfully compete with these powerhouses in terms accuracy and quality of results.

2. Private data sources. We work extensively with Twitter and other social networks, yet at the same time we process enterprise data. Working with private data sources means system should know details specific only to this particular data source. For example, when if a system handles web self-service solution for online electronics store it learns the names, prices, and other details of all products available at this store.

3. User driven solution. Our system learns from user’s input. Which makes it extremely flexible and as granular as needed. It supports both generic topics, for example car purchasing, and conversations concentrating on specific type of car, or a model.

MAKING AI MAINSTREAM

We are experiencing a strong demand for conversational AI solutions. It is coming from every corner of the B2C market. It is growing by the day.

Conversational AI is becoming increasingly popular among the consumer facing business community. It is easy to see why - AI offers sales and customer service scalability and therefore is critical for the long-term success of a business.

Conversational AI solutions such as chatbots, voice bots, and virtual assistants provide much needed speed and efficiency, in an age where the rapid advancement of technology makes them virtually the only sustainable customer service solution.

Bu there is a catch - AI is complicated. Mainstream businesses do not have in house AI expertise. And it is not part of their business model to develop such expertise.

Today’s market offer several good conversational AI solutions, such as IBM Watson or Google DialogFlow. However, getting a business value out of them requires the very AI expertise that mainstream companies do not possess.

So what can be done?

Any AI solution should follow these three steps in order for the mainstream business community to fully benefit from it:

Conversational AI should come as a service,
The service should be available in natural language,
The service should be fully personalized.

In the next several posts we will explore how the AI industry, including nmodes, is moving towards achieving these goals.