Sep

nmodes Introduces Arabic language support for Advanced AI Solutions

nmodes recently introduced new feature for our family of Advanced AI solutions – Arabic language support. 

nmodes provides conversational AI solutions to address the needs of customers around the world. We deliver chatbots, integrated AI solutions, omni-channel AI systems and more. Our solutions are professional, efficient, scalable. 

We believe this is the beginning in the marketplace for advanced conversational AI solutions that help improve and scale current sales and customer service business process. With Arabic support, we’re creating new opportunities for an important, fast-growing market segment.

Additional native language support is an integral part of our strategy of bringing a full spectrum solution to the AI market.  We continue to define new solutions, add new languages to enable businesses and organizations around the world more easily benefit from the advantages of  using solutions powered by advanced AI technology.

Interested in reading more? Check out our other blogs:

Social Engagement and Sales Accelerate When Using Intent-Driven Data

nmodes delivers consumer intent from social web to businesses. In real-time.

 

That is, if your company is selling cars we will connect you with potential customers out there that express intent to buy a car.

 

nmodes has partnered with a medium-sized travel company to help grow their social web sales channel. Our approach is to deliver consumer intent relevant to the company (people planning vacations, going on trips, flying to various world destinations, etc) and develop engagement strategies maximizing the impact of this consumer information.  

 

Here are the results based on 4 months of data:

• The most efficient way to achieve short-term sales turned out to be individually targeted promo campaigns. For example, our travel partner created an attractive vacation destination package, and nmodes helped to spread the word on social media to those intended going on vacation.

 

A typical conversation start leading to promo offering. nmodes intent-based solution made it especially easy to target only relevant end users:

The response rate varies geographically.

Canada - 20%

USA - 64%.

The conversion rate is consistent across all locations and is slightly above 4%. When concentrating on vacation packages we were targeting 20-50 prospects daily, resulting in 2-4 sales per week, averaged $15,000 /mo or $200,000 /year.

The potential for this particular market segment (all-inclusive vacations) in the US is at least x10 higher.

The engagement was based on the combination of intent-based data and location data.

An intent-based sample for European destination package, travelers from USA:

 

While working with companies from various verticals we proved that intent-based data paired with location data offers a powerful opportunity to drive sales aggressively and accelerate business growth.

 

nmodes is best equipped to ensure that your business can benefit from this newly available power.

 

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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.

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