Success stories with AI in business analytics

Success Stories with AI in Advanced Demand Prediction

AI enables the analysis of enormous amounts of data, identifies patterns in customer behavior, and accurately forecasts future demand by integrating not only business data but also external factors such as weather or sociopolitical conditions. This not only optimizes the supply chain and reduces costs but also prevents inventory imbalances.

SEIDOR developed a predictive model based on historical sales data to assist a client in the pharmaceutical sector, facing the challenge of optimizing their demand prediction process. This model allowed for the prediction of unit demand for all their products 12 months in advance, transforming a manual process into an automated and efficient operation.

Success Stories with AI in Optimal Resource Allocation

AI, by analyzing large volumes of data, also reveals hidden patterns and trends. This enables companies to distribute resources more intelligently and strategically, maximizing performance and minimizing unnecessary costs. Additionally, it provides real-time information for precise and rapid operational adjustments, and identifies and resolves bottlenecks in business processes.

In a practical AI success story, we applied this principle to the 112 emergency service in Catalonia. The challenge was to ensure the constant availability of resources. By analyzing correlations between incidents and external data, such as weather information and patterns during extreme events, we developed an integrated management system. This system includes two applications for forecasting and sizing, as well as for simulations.

As a result, resource utilization was optimized. The algorithm, in continuous evolution, achieved 93% accuracy. This led to a significant increase in citizen satisfaction.

Success stories with AI in optimizing product recommendations at the point of sale

Another factor to consider with AI is that, by analyzing large amounts of information, it can also generate personalized recommendations that align with the needs and preferences of each customer. This personalization not only improves the shopping experience but also increases the likelihood of sales. Additionally, AI is capable of identifying patterns in customer behavior and predicting future interests in products.

In a specific AI success story, we applied this technology in a company dealing with automotive and construction chemical products. We developed a data analysis solution with AI that provided a more comprehensive view to the sales team. SEIDOR's recommendation algorithm was integrated both on the web and in the CRM, providing sales representatives with updated information on customer behavior patterns. As a result, the average order volume increased, and a significant sales boost was achieved.

Success Stories with AI in Process Analysis Automation

AI, by taking on repetitive tasks, frees up employees to focus on more strategic activities, saving time and resources and improving the overall performance of the company.

A clear example of this application can be seen in Almirall, a renowned pharmaceutical company, which sought to automate quality processes in its production plants. We developed an automation platform for them that generated quality reports, including data transformations and relevant graphs, complying with regulations and applying statistical quality control procedures. This implementation resulted in a significant reduction of human errors and allowed the Almirall team to focus on higher value-added tasks.

Success Stories with AI in Inventory Optimization

As we have already anticipated, AI analyzes large volumes of data to identify patterns and trends in the market and sales, which facilitates informed decision-making about appropriate inventory levels. This ensures meeting customer demand without incurring excesses or stock shortages. Additionally, AI enables real-time adjustments in inventory strategies, adapting to changes in market conditions and customer needs, which improves operational efficiency and reduces costs derived from inefficient inventory management.

A practical example occurred with a client in the food sector, specializing in snacks, chips, and nuts. This company faced problems in warehouse management and functionality, with inefficient product distribution and resource shortages. SEIDOR implemented a digitalized warehouse model that organized products based on order history and an algorithm that optimized the placement of goods considering the type of product and its history. As a result, a 20% reduction in travel distance during the picking process was achieved, also decreasing the required time and increasing resource capacity.

DELFOS by SEIDOR. How to go from interpreting data to talking with it

We hope that these success stories of AI applied to data analytics have helped you better understand the possibilities that this powerful technology has in a business. And if these applications have surprised you, what if I told you that there is a way to talk one-on-one with your data?

DELFOS by SEIDOR is an advanced AI platform designed to optimize interaction with business data and documents. It is an oracle that allows users to interact in natural language with processes.

DELFOS by SEIDOR integrates with your other systems and analyzes all your documents and any multimedia material you have, so you can make the most of the potential of your data, extracting information from it as if it were a person.

This tool offers task automation, advanced data analysis and improves communication with customers, being fully configurable and extensible according to business needs. Compatible with multiple systems such as SAP and Salesforce, DELFOS allows natural language queries, focusing on data security and privacy. Its features include:

1. Advanced automation and data analysis, improving interaction with your other systems.
2. Dynamic Natural Assistant for intuitive internal and external interaction.
3. Priority on data security and privacy, without sharing information with third parties.
4. Flexibility for remote work, accessible as a SaaS service in the cloud or on-premise.
5. Hyper-personalization in support and training from corporate documents.
6. Creation of high-quality corporate content, adapted to specific needs.

We have more than 25 years of experience and more than 2,500 clients who have been able to vouch for our effectiveness. Our Data & Analytics team is at your disposal for these applications and any other needs your business may have.

Don't wait any longer, and take advantage of the potential of AI. Do you want your company to be the next success story?