Intelligent Forecasting (IF) is an advanced tool that utilizes a company’s existing data, both structured and unstructured, and combines it with additional external data when necessary. It then applies machine learning algorithms to generate highly accurate predictions of future demand, optimizing inventory management and ensuring an appropriate stock of products.

IF takes into account a variety of factors that can influence demand, such as:

• Market and industry variations: General market changes and specific industry trends.
• Seasonality: Considers seasonal patterns such as weekdays, weekends, holidays, and specific seasons that affect certain products (e.g., air conditioners in summer).
• Promotion impact: Evaluates how promotions, price changes, or display methods can alter demand.
• Contextual factors: Analyzes external elements like city events, weather conditions, or customer surveys that may influence demand.
• Scenario simulation: Allows evaluation of unprecedented situations, such as the entry of a new competitor or regulatory changes, to foresee how they might affect demand.

Intelligent Forecasting (IF), also known as Business Forecasting, can benefit a company by transforming its planning processes to better adapt to the current reality, marked by disruption and uncertainty. By integrating advanced technologies like artificial intelligence and machine learning, IF facilitates the transition from manual and reactive planning to digital, proactive, and data-driven planning.

By implementing this solution, a company can:

• Optimize inventory management: Reducing storage costs and avoiding product obsolescence. It also enables better production and distribution planning, ensuring that product stock is always available to meet customer demand.
• Automate and digitize processes: Automation reduces reliance on manual interventions and makes processes more efficient and scalable, which is crucial in an environment where speed and adaptability are essential.
• Optimize the supply chain: By more accurately forecasting demand, IF helps adjust the supply chain more efficiently, avoiding issues like excess inventory or product shortages.
• Facilitate strategic decision-making: With a clearer and more accurate view of future demand, companies can make more informed and strategic decisions, improving profitability and resilience.
• Adapt to disruption: In an environment where disruption is the norm, IF enables companies to remain competitive by quickly adapting to changes in the market, regulations, or even the entry of new competitors.

In summary, Intelligent Forecasting is a key tool for companies to modernize their processes, improve efficiency, and stay competitive in an increasingly uncertain and digital world.

The implementation of Intelligent Forecasting (IF) is most effective in industries such as retail, manufacturing, finance, and logistics, where the ability to anticipate demand changes, adjust production in real-time, and optimize supply is crucial for success.

In retail and manufacturing, IF allows for reduced production and inventory costs, optimized distribution channels, and better evaluation of sales behaviors. For example, an oil products company can use IF to determine the most suitable type and size of packaging to maximize sales and optimize stock management.

In finance, accurate demand forecasts allow organizations to focus on strategies like price and promotion optimization, taking advantage of market elasticity.

In logistics, IF helps value chains, including logistics operators and distribution companies, improve operational efficiency and gain better visibility for managing and optimizing their products (SKU).

Additionally, in laboratories and pharmaceuticals, where detailed product tracking is essential to ensure quality, IF is a key tool for maintaining high standards and continuously improving operations.

In summary, Intelligent Forecasting is especially effective in industries where accurate demand prediction and optimization of operational processes are fundamental to profitability and competitiveness.

Implementing Nubiral’s Intelligent Forecasting offers multiple benefits for optimizing inventory management in your company. With this solution, you can reduce safety stock by up to 10% and overall inventory by up to 30% while maintaining the same service levels. This not only frees up capital and reduces storage costs but also improves operational efficiency by ensuring that products are in the right place at the right time.

To ensure success in the implementation of Intelligent Forecasting, Nubiral follows a rigorous process based on data science. This process includes a comprehensive data assessment through exploratory analysis, cleaning, and selection of a subset of products for testing, and large-scale deployment of the solution with automated data ingestion and model retraining. Additionally, simulation scenarios are incorporated to further refine predictions, ensuring that each implementation is optimized to minimize error and maximize benefits.

At Nubiral, advanced algorithms and big data analysis are used to ensure maximum accuracy in predictions. Additionally, our Business Forecasting solutions are designed to continuously learn and adapt, improving the accuracy of predictions as more data is collected.

Intelligent Forecasting is an essential tool for decision-makers in times of uncertainty, where changes occur at a rapid pace. This solution, based on machine learning, allows companies to increase their visibility and make real-time data-driven decisions, minimizing error margins and optimizing inventory management.
By analyzing previous sales cycles and incorporating key variables, Intelligent Forecasting generates accurate forecasts, detects patterns and trends, and optimizes production and inventory processes. This avoids additional storage costs and ensures that products are available at the right time and place to meet customer demand.

Additionally, Intelligent Forecasting enables companies to:

Understand market behavior: Clusters the product and customer portfolio to identify market dynamics using unsupervised learning algorithms.

Improve forecast accuracy: Trains models with internal and external data using Deep Learning, further reducing prediction error.

Simulate future scenarios: Offers the ability to create “what-if” simulations for proactive planning and contingency forecasting.

By adopting Intelligent Forecasting, your company will not only be better prepared to face uncertainty but will also be able to consolidate its market leadership by anticipating events and optimizing resources more effectively. This will allow you to make faster and more accurate decisions, maintaining your competitiveness and profitability even in a volatile environment.

Getting started is easy. Contact us to schedule an initial consultation. We will assess your needs and develop a personalized solution that aligns with your company’s goals. Contact us today to discover how we can help you anticipate the future and make smarter decisions with Smart Forecasting and AI Demand Forecasting!