Skip to main content

Bots in the Scope of the CRM Systems of Companies

 When bots are increasingly used in companies, the CRM system will also

increasingly turn into a “BRM – Bot Relationship Management” system.

With each contact with the customer, the bot learns more about the customer’s needs and preferences. It acts as a fully automated, smart customer

adviser who can recognise the client’s wishes like a good friend and fulfil

them directly. Fully personalised up- and cross-selling increase customer satisfaction and frequency of purchase. With the help of these persona assistants, the CRM system of a company is given fully autonomous efficiency

never achieved before and alignment as close as possible to the customer.

The search for a suitable and affordable flight can be cumbersome. What

is we can simply ask a bot for an affordable flight? Lufthansa mwith their

helpful avatar “Mildred” (mildred.lh.com) have recognised the signs of the

times and gone public with a best-price search bot at the end of 2016, initially a still learning beta version. In a sympathetic chat with Mildred, you

can enquire in German or English about affordable flights within the next

12 months and book them directly.

Admittedly, the speech requirements are not particularly high as the chat

does not take any unsurprising turns. Of course, the search period can be

limited further and the booking class can be specified but the content of the

chat is more or less the same. It is connected to various databases including “Lufthansa Nearest Neighbour” to search for airports according to city

names or the three-letter cods. With the help of “Google’s Geolocating”,

Mildred is able to located airports according the sights. An enquiry about

the Eiffel Tower, for example is translated into Paris as the flight destination.

On the basis of this data, Mildred enquires with the Lufthansa database

“best Price” about the cheapest price for the route needed, which can then

be booked via a link.



The classical inbound touchpoint bot in customer service is provided by

the service provider for digital television, Freenet TV. It gives advice about

reception problems around the clock and can thus provide initial help.

In contrast to Mildred, the customer does not write mbut clicks on pre-

programmed answers and is led through a first problem diagnosis and trou-

bleshooting process step by step. Video instructions are frequently posted ams

well making the service as the first point of contact quite useful. As techni-

cal problems can quickly become complex, however, the bot meets its lim-

itations after a few questions and, upon requests, passes on to the classical

means of customer service (https://www.messenger.com/t/freenetTV).

Comments

Popular posts from this blog

Customer Engagement with Chatbots and Collaboration Bots: Methods, Chances and Risks of the Use of Bots in Service and Marketing

 Relevance and Potential of Bots for Customer  Obtaining information, flight check-ins or keeping a diary of one’s own diet—all of this is possible in dialogue today. Customers can ask questions via Messenger or WhatsApp or initiate processes. This service is comfortable for the customer, available at all times via mobile and promises fast answers or smooth problem-solving. A meanwhile strongly increasing number of companies is already relying on this means of contact and the figures on chat usage speak in favour of this means supplementing or even replacing many apps and web offers in the future. The reasons for this are manifold. Figures of the online magazine Business Insider 1 reveal a clear develop- ment away from the public post to the use of private messaging services such as Facebook Messenger or WhatsApp. Facebook meanwhile has a user base of around 1.7 billion people worldwide; 1.1 billion people use WhatsApp, and Twitter can nevertheless still record 310 million us...

Robot Journalism Is Becoming Creative

 Algorithms are able to automatically search the Web for information, pool it and create a readable piece of writing. In addition, data-based reports in the area of sport, the weather or finances are already frequently created automat- ically today. Recently, for example, merely a few minutes after Apple had announced their latest quarterly figures, there was a report by the news agency Associated Press (AP): “Apple tops Street 1Q forecasts”. The financial report deals solely with the mere financial figures, without any human assistance whatsoever. Yet, AP was able to publish their report entirely via AI in line with the AP guidelines. For this purpose, AP launched their corresponding platform Wordsmith at the beginning of 2016, which automatically creates more than 3000 of such financial reports every quarter, and which are pub- lished fast and accurately. It is no longer that easy to distinguish between whether an algorithm or a human has written a text. Another exception of rece...

A Bluffer’s Guide to AI, Algorithmics and Big Data

 Big Data—More Than “Big” A few years ago, the keyword big data resounded throughout the land. What is meant is the emergence and the analysis of huge amounts of data that is generated by the spreading of the Internet, social media, the increasing number of built-in sensors and the Internet of Things, etc. The phenomenon of large amounts of data is not new. Customer and credit card sensors at the point of sale, product identification via barcodes or RFID as well as the GPS positioning system have been producing large amounts of data for a long time. Likewise, the analysis of unstructured data, in the shape of business reports, e-mails, web form free texts or customer surveys, for example, is frequently part of internal analyses. Yet, what is new about the amounts of data falling under the term “big data” that has attracted so much attention recently? Of course, the amount of data avail- able through the Internet of Things (Industry 4.0), through mobile devices and social media has ...