Business with AI: Raising the quality and agility in customer service is the desire of all companies. However, strategic changes to produce better can pose a challenge in many cases.
This is due to low operational efficiency with analog and decentralized processes. More than a trend, AI (Artificial Intelligence) is already a reality for large companies. Investing in the sector is an excellent tactic for decision-making based on data.
AI technology collects and processes production information and then sends it to managers. Such a practice facilitates productive optimization.
What Is AI?
Artificial Intelligence is a technology that simulates human learning based on data. A computer program with AI can facilitate administrative decisions and deliver performance indices revealed by databases.
Machine Learning is the process that makes a machine improve its operational efficiency by using learning algorithms that constantly improve database and decision making. Some robots are programmed to learn independently without human intervention, getting more competent as they work daily. While in other cases, the interaction with the end-user generates a learning experience of their service deliveries.
Neural networks, Machine Learning, are responsible for processing the information that generates the learning system. Thanks to AI, science fiction has become a reality. It is a new phase of technological evolution.
Which AI Marketing Applications Increase Operational Efficiency?
Below you discover seven practical examples of applications that generate operational efficiency with this strategy.
1 — Save Time And Money
With innovative programs, a manager can better plan corporate finances, aided by data, to make safe decisions. In addition, it is possible to analyze information in real-time, optimize resources and improve operations performance.
For example, in the logistics sector, administration software identifies congested parts of the traffic and shows alternative routes. This measure is helpful for deliveries to be made in less time and ensures greater productivity.
2 — Ease Of Identifying More Opportunities
The high capacity of AI programs to make financial forecasts should not be ignored. Whether in the market or the productive processes of the business, it is possible to cross data from competing companies – public or private organizations – and identify chances of anticipating demands or offers.
Some automatic data disclosures show predictability of profit, loss, inventory, raw material, and other micro and macro economy information. In this way, it makes it possible to reduce commodity costs with reports that show intelligent data.
3 — Deep Analytics With Easy-To-Use Features
How often do you think about counting the volume of deliveries in 1 year, for example, but give up because you don’t have the patience or time available?
Deep data about operations are much faster to identify with AI. For example, the system reports the actual numbers in seconds if you type a question (for example, how many items were delivered in the last 5 Black Fridays ?).
Some technologies send alerts to managers to report any operational deviation. Thus, management takes action before a small problem grows into much larger proportions.
4 — Better Understanding Of Maintenance Needs
Operational efficiency with AI in tracking technologies accounts for parts wear time. Thus, considering the shelf life of components or the performance level of equipment and vehicles, both types of data collected and processed by Artificial Intelligence, the company can develop a perfect logistics schedule.
For example, with this information, the manager understands the best preventive or corrective maintenance periods. This is without interfering with day-to-day operations.
5 — Operational Efficiency In Inventory Management
The data reveals the ideal period to supply or reduce inventory, considering internal and external information. In IT programs and tools, fleet management comprises the average speed of deliveries.
By monitoring downtime and engine idle time, the company identifies which couriers are most effective and the overview of operations to maintain a working inventory.
AI-powered data science monitors the shelf life of the stored product. Rapid data analysis with this intelligence can anticipate productive interruptions and shortages.
6 — Operational Efficiency In Surveillance And Security
Residential buildings, construction sites, fleet garages, and commercial buildings are locations for intelligent surveillance cameras. The technology monitors in real-time, and the AI alone analyzes the data and identifies hazards precisely.
Temperature maps identify the flow of people and volumes of goods, so any night movement is noticed and monitored.
Biometrics techniques, such as facial recognition, identify fraud attempts — even if individuals are wearing caps and wigs — before entering departments or using the equipment.
7 — Better Understanding Of Human Language And Speech
AI technologies optimize the understanding of human language and speech. In this sense, technological resources improve customer service effectiveness, qualifying the average NPS ( Net Promoter Score ).
How Does AI Open The Doors Of A Company?
The capabilities of this technology make companies more competitive and organized through integration automation and deep learning.
Artificial Intelligence has evolved as a concept and practice for a specific advantage: automating repetitive tasks and performing many functions quickly, without operational errors.
Imagine if you had to analyze all your business data in detail? Maybe this task would take hours, days, months, or years, right? In contrast, AI programs analyze millions of data in a few seconds.
With this feature, a business manager can understand the behaviors of productive data in real-time with simple clicks on the smartphone screen. This helps in planning strategies that ensure operational efficiency.
