AI in e-commerce

Every day that passes, AI is becoming more established in our daily lives. The big leap forward came during the pandemic, although in 2020 it was an unknown tool, quite the opposite of today.

The goal is to enhance all the benefits of e-commerce .

How AI works

AI works through algorithms that act through programming, Machine Learning and Deep Learning .

Machine Learning

One of the options offered by Artificial Intelligence is Machine Learning , which is responsible for developing techniques for the algorithms that are developed and applied and involve a large amount of code and complex mathematical formulas, so that the machines do their work and find the solution to a given problem.

This branch of AI is one of the most widely used today, as it is capable of absorbing a large amount of data and transforming it in the appropriate way so fax lists that the user can make informed decisions.

A good example would be that of a multinational company with dozens of different departments, each with data derived from its own business lines, these departments go through the Machine Learning process for decision-making that we mentioned earlier, so that the decisions made with this data have a high percentage of precision and accuracy, for the continuous evolution of the business.

All of this directly influences the time savings that human capital should invest in this process.

Deep Learning

Its definition is: The set of algorithms that are designed for automatic machine learning and evolution and that create non-linear reasoning.

The goal is to transform machine algorithms and transform them into humans.

It provides advanced responses and is a plan with digital gifts that can be used while traveling capable of analyzing multiple factors simultaneously. It offers information on “intangible” data, such as distance information between cars.

Benefits of Artificial Intelligence

  • Marketing a doc
  • Customer loyalty
  • Operations optimization
  • Cybersecurity
  • Real-time price optimization
  • Customer support chatbots
  • Image recognition
  • Optimized processes

The impact of AI on e-commerce

A significant figure for e-commerce in the European industry is estimated at
€200 billion , thanks primarily to the resources and resources offered by artificial intelligence . The initial objective of this tool was to improve internal processes, predictive maintenance, and enhance market knowledge of potential customers, competitors, business sectors, and so on.

The industry is applying it to evolve its technology and boost its productivity and performance.  

Automation is another of the processes that we must value as an input from AI . This represents a high-value saving both in the processes and in the human part, when it comes to supervision or programming, eliminating the looping tasks of the day to day, which translates into time savings, so that human capital can be dedicated to other tasks of much greater value for the business line.

AI helps improve the third leg of business , the financial side , and helps make the right decisions thanks to the details of the data. Although many of the actions have a significant impact on employees—on efficiency, quality, delivery dates, process improvements, etc.—the biggest egypt data beneficiary is the financial side of companies . If the above actions are implemented daily, they are key to boosting overall performance and improving overall financial results.

Benefits of AI in e-commerce

  1. Automate process
  2. Creative functions
  3. Precision and decisiveness
  4. Process improvement
  5. Reduction of times
  6. Data prediction
  7. decision making
  8. Processes/control and optimization
  9. Increased productivity

Disadvantages of AI in e-commerce

  1. Data extraction
  2. Lack of knowledge
  3. Costs and implementations
  4. Skills shortage

How can we integrate AI into e-commerce?

  • Create recommendation systems
  • Chatbot development
  • Virtual Assistants
  • Data analysis
  • Machine Learning
  • Improving daily task processes
  • Targeting
  • Effectiveness of actions

AI tools adapted to e-commerce

  • SEAL : Product listing.
  • PIXELCUT : Image enhancement.
  • WRITERLY : Web content.
  • NEURALLOVE : Improving the quality of product images.
  • SNIFFIE : Prices per doc, according to user.
  • INDATALABS : Database for electronic commerce.

The future

The ability to predict and determine data analysis is one of the greatest advances in recent years in the business world.
This will enable decision-making in e-commerce , enabling it to be tailored to the needs of each business , such as structure, content, or categories.

The goal of eliminating third-party cookies will be to adapt them to the personalization of each user.

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