AI Business Process Optimization Solutions

Generative Artificial Intelligence (AI) is the field of technologies that can generate new data, content or even completely new things. A generative AI system learns from data and patterns and then uses them to create something new based on the original patterns and data.

Generative AI can be used in a wide variety of fields, such as image and sound generation, text generation, or even music and video creation.

Its application opens up opportunities that companies previously hoped for but never got from traditional digitisation.

With the right use of AI, for the first time in the history of digitalisation, the technology is working for you.
 

Generative Artificial Intelligence is predicted by McKinsey experts to have a significant impact on workflows, with the potential to automate 60-70% of workers' activities. This is up from previous predictions of around 50%.

The increase is due to the increasing ability of generative AI to understand the natural language that is required for work activities. This also means that it will have a greater impact on professions with higher wages and skill requirements. Current estimates suggest that around half of current jobs could be automated between 2030 and 2060.

• Artificial Intelligence allows you to automate more tasks, freeing up manpower. For example, chatbots, automated customer service systems, and robotic process automation (RPA) can help reduce the time spent on administration.
• AI can also help companies process the large amount of data they receive, helping them to make more accurate decisions and better understand customer needs.
• AI can help predict certain events and trends, allowing the company to react to changes promptly
• AI-based production, logistics or inventory management systems contribute to a more efficient use of resources.
• AI can help automate marketing tasks such as lead generation, content creation and social media management.
• For customer service, AI can improve the customer experience. Technologies such as chatbots can help streamline workflows, respond faster to customer requests and proactively anticipate customer needs.

1. Understanding the business objective and defining the cooperation framework

Understanding the business objective.

Defining the rules and options for cooperation: In the next session, the consultancy team will come up with a proposal, including the constraints and aspects to be taken into account during the consultancy project (e.g. budget, timeframe, technology constraints, etc.). This will help to manage the progress and to ensure that the communication between the consultancy team and the client is clear about the business objectives and the framework of the consultancy project.

2. Online or face-to-face training: how AI in business processes makes operations more efficient (1 session)

In interactive workshops, we will jointly develop the concept of how AI can optimise and improve processes in the business. You will learn about the concept and research we use to explore how AI can transform business processes, and identify the areas where you want to use AI and the goals you want to achieve with it.

3. Survey and identification of typical use cases (2-4 sessions)

Detailed assessment of the company's selected business process, identification of pain points, and factors that hamper efficiency.

4. Development of possible solutions, specification

Develop a tailored AI strategy for the company, covering current challenges and how AI can be seamlessly integrated into the company's operations.

5. Presentation of project ideas (2-5 items)

The company will be provided with 2-5 feasible use cases with detailed data.

6. Develop MVP project plans from the chosen idea

Demonstration and presentation of the selected use case in a demo to the CEO.

7. Subsequent MVP or final software development project implementation

Proof of Concept (PoC) for the solution of the selected problem. PoC improves the probability of successful implementation. This includes defining the success indicators of the project: how to measure the increase in efficiency.

Company activity: browse promotions and set up action alerts in Unicatalog's app, Action Hunter.

Projects designed after consultations:

• Automatic segmentation of customers.
• Loading promotional catalogues with AI-based image processing.

Our results:

• Uploading of products has increased 4x faster.
• Due to this, the previous team of 5 people was replaced by 1 person.
• Costs have been reduced by 75%.
• The work is no longer data entry, but data verification.
• The accuracy of the data in the application has improved significantly.

Time from idea to finished solution: 8 weeks.