Automated Product recommendations – Does Software Better Than Human Sales Staff?

The article deals with the possible uses of automated product recommendations in sales and customer service. There are buyers who prefer to buy on the internet for there they do not have to talk to human sales representatives. They probably had some experience with vendors staff hiding their cluelessness behind a lot of talk and are trying to sell their products on stockage at anyone who does not get away fast enough.

The problem looks hard to solve. But wait: for a few years now it is possible to extract valuable data points from primarely web activities and connect them with realised sales. The connector are either self-learning models or static traditional models. Models simulate behaviour and results.

The interested customer is looking für information before buying. He or she may ask a specialised salesperson and consultant who has all the relevant answers ready and can think in the customer’s interest. This relieves the customer. Or they, the potential clients, may look for publicly available information and customer review to avoid the advice of an inexperienced and overburdened sales representative.

Many sales representatives for complex products are quickly overwhelmed by the questions and expectations of well-informed prospects. The untrained salesperson feels attacked, the sales talk goes off the rails, the interested party prefers to buy from a supplier without advice.

The web part of customer journey

Depending on the product, between 80% and 90% of the buyers begin their customer journey with an search engine. So it is important for the seller to know what it is reported in the web, take care of the correctness of web information and avoid contradicting information. If there is human sales staff, they are supposed to assist the web customer journey and take care of a seamless process.

The consultant with all the facts in mind and the fully automatic customer advisor are extremes, the practical truth in the company lies in between.

Can the web be the better customer advisor?

Yes and no. The informations in the web and the informations given by a human sales person are supposed to go without contradiction. Nobody likes lies and deception.

Artificial intelligence makes use records of any communication with customers, for example chats, mail, data entries. This is compared with predetermined success goals. The model recommends something and can adjust itself. Something salespeople do intuitively, too, if the selling company lets them. Artificial intelligence therefore means less control for the management. On the other hand, opportunities are used that might otherwise have been overlooked. Where to start now?

Sellers are supposed to make as much information as possible available in a neatly structured way. Many people would like to find out more before making personal contact, but cannot find the information they are looking for. If publicly available documentations saves half an hour of calls per working day for the seller this justifies an expense of €2,000 for an improved sales website or other type of customer information – and that for telephone staff at a standard wage. Informed customers are better customers.

The meaning of human interaction

The ideal salesperson knows the buyers needs and wishes. He ors she build the best possible solution with his expertise. In between, looking up details and availability on the computer is essential for complex inquiries.

Advice form humans or from machines and websites?

Whether or not a human intermediary remains necessary for information collection and transmission depends on the product itself and on the personal preferences of the interested party. Some can evaluate and implement the freely available information, such as product descriptions, customer reviews and more for their own needs, while others cannot.

Good sales people relieve the customers. To do this, they must put the interests of the customer first and not fight for sales at any price. Consulting software in the sales pitch gives standardized information, if the software is capable of extracting the recommendation which work and then the client might be really happy.

Correct information with automated product recommendations
Correct product informations saves money for buyer and seller

Success has many reasons

Incidentally, the screen of the gentleman can turn directly to a prospective customer without the computer interfering. And if he needs information from the cloud or machine, he has it quickly at hand.

Using A Group For Improving Advice

This post is about using group decisions for personal development and avoiding the trap of getting contradictory advice. A scaled down method from social research is useful to get better advice for personal and business matters.

“Guter Rat ist teuer” (Good advice is expensive) is an old German meme. Jokes transfered that to “Guter Rad ist teuer”, meaning a good bicycle is expensive. This is also true for getting good advice in transition periods, where many of us are vulnerable and insecure.

Some annoying people give unwanted advice. Their motivation is to lift themselves and their self-esteem by influencing somebody to change behaviour. Social and market researchers exclude some participiants for the reason that their opinion is not helpful. For personal and business growth it is important to ignore them too.

We like to ask people we know and we trust. They tell us their opinion looking from their own situation. For giving best advice they are supposed to leave their world and go into the thought system of the one they want to help. That is not easy to do and it is prone to errors. Example: I (the author) am really good at fixing cars and bikes. I am inclined to I think everbody can do that. For many people that skill is not important, so they cant, and I have to consider that if giving advice.

So, what to do, to not fall into despair after the first advice from a friend, collegue or coworker or fall into more despair after getting different advice and statements from different people.

How about asking for example 20 people, and write down or memorize the answers. If the same answer appears more often, there must be some reason behind it. I do not include the statistical proof for that right now.

For me that technique solved a personal problem: I generally do not trust human authorities. I think most of them are somehow crazy, corrupt and stupid. How to find truthful information with this precondition? I want to participate at the wisdom of humanity. My solution is finding opinions and statements which are similar – if many rely in the same facts, there must be some truth in it.

Another way for solving similar problems you might find here: Price Negotiations and Decision Tree. There you make a decision tree and add probabilities to each event.