It is common in large companies for commercial information to be spread across a large number of files and folders.

Problem: errors and oversaturation

Furthermore, the traditional way of managing sales visits has made the CRM (Customer Relationship Management) depend to a large extent on the salesperson's subjectivity. Manually, the salesperson has been responsible for tracking, information about routes, assessing results, etc.

This means that a lot of information is often lost and, furthermore, that commercial errors are easily made.

The consequence of this is, on many occasions, an oversaturated Administration and Finance department, which devotes an excessive amount of time to providing commercial support and correcting errors.

How can we resolve this situation of low productivity and departmental tensions? The key lies in automation.

The urgency of automation

In the current context, companies work with large amounts of data, spread across different channels. For example, the customer comes into contact with the sales team in person, remotely and via ecommerce, and across all these channels it is important to have the right information to offer an excellent customer experience.

Thus, in the current context, which has been accelerated by the pandemic, traditional sales models are becoming obsolete. It happens that sales teams are not prepared to manage these tasks with the necessary speed and efficiency.

In this scenario, there is a solution that presents itself as the great ally for the level of hyperautomation that today's sales require: Artificial Intelligence.

AI to improve productivity

In summary, the purpose of Artificial Intelligence is to help us solve problems in an automated way by applying logic. To this we can add Machine Learning, which means that the software is capable of learning from these processes to do it better and better.

In this sense, AI is our best ally for improving sales processes, as it allows the automation of tasks that have traditionally taken up a great deal of salespeople's time. Furthermore, it does so effectively, based on the objective collection of data.

There are numerous benefits that Machine Learning can bring to your sales processes. Its ability to automate commercial tasks allows you to:

• Improve performance of the team by saving time on manual forecasting and monitoring tasks
• Offer the customer a more personalised experience through automatic recommendations
• Detection of sales opportunities thanks to an excellent ability to detect patterns and make predictions
• Facilitate the onboarding process for new salespeople with precise training and helping them to carry out their duties quickly

Mobile Sales: the solution you are looking for

It is precisely through AI that Mobile Sales brings to your sales tasks the automation and speed you need to start selling more and better.

The Catalog Player platform increases productivity thanks to the recommendations that the Machine Learning software generates, and which it makes available to salespeople quickly and intuitively.

The system is capable of identifying the best practices of the salespeople, learning from it and providing salespeople with the necessary information at each moment.

In this way, the platform can help you to have a more autonomous sales team, adapted to the new times and prepared to sell more effectively thanks to the support of Artificial Intelligence.