We are a technology consultancy in Argentina specialized in integrating AI models and predictive analytics. We optimize inventories, enhance data mining, and transform your company's strategic planning.
A team of artificial intelligence consultants is ready to review your demand forecasting or data mining use case. No commitments, just a technical conversation.
Request a technical meetingThe artificial intelligence and predictive analysis models developed by Intelligencetomorrow are based on historical data, statistical patterns, and machine learning algorithms. The results obtained do not constitute absolute guarantees of future events, but rather probabilistic projections subject to the quality, integrity, and representativeness of the input data.
Any implementation of predictive models in B2B corporate environments requires a prior process of data cleaning, normalization, and validation. Intelligencetomorrow is not responsible for commercial, financial, or operational decisions made solely based on predictions generated by its systems without proper human supervision and contextualization by the client.
Data mining and inventory optimization solutions are designed for business environments with significant volumes of transactional data. The effectiveness of the models may be affected by structural changes in the market, unmodeled external events, or modifications in the client's internal processes that alter the statistical distribution of historical data.
The technology consulting services offered by Intelligencetomorrow do not include legal, accounting, or financial advice. Clients are recommended to complement technical recommendations with the judgment of qualified professionals in the corresponding areas, especially regarding regulatory compliance and risk management.
Intelligencetomorrow reserves the right to update, modify, or discontinue its models and algorithms based on technical advances, changes in data availability, or improvements in analysis methodologies. Clients will be notified with reasonable advance notice of any substantial modification that may affect the continuity or accuracy of the contracted services.
The use of the platforms and tools provided by Intelligencetomorrow implies acceptance of the terms described herein. For specific inquiries regarding the applicability of these terms to a particular case, clients may contact our team through the usual channels.
We don't offer generic models. We build artificial intelligence systems that understand your company's supply chain.
Our algorithms are calibrated with historical records from your operation, not public datasets. Each implementation starts with a prior data quality analysis.
We work on top of your existing ERP or database. You don't need to migrate platforms or interrupt operations to start forecasting demand.
Each prediction includes a report of influential variables. You will know why the model recommends increasing stock or reducing orders, with no black boxes.
Industrial and logistics companies in Argentina use our models to reduce stockouts and optimize working capital. Our annual retention rate has exceeded 85% since 2021.
projects implemented in B2B
years of continuous operation
average reduction in inventory costs
models with decision traceability
Clear answers about our artificial intelligence and predictive analytics solutions for businesses.
We work with historical sales data, inventories, seasonality, and external variables such as economic indicators. Perfect data is not required; our algorithms are designed to handle noise and gaps, although the quality of the result improves with clean and representative datasets.
It depends on the complexity of the legacy system and data availability. On average, a functional pilot can be ready in 8 to 12 weeks. We use a hybrid architecture with REST APIs that minimizes disruptions to daily operations.
Yes, we work with clients throughout Latin America. Our team adapts to different time zones and local regulations. Primary communication is via email or video calls, and deliverables are adjusted to each country's legal framework.
Accuracy varies by sector and data quality. In recent projects with supply chains in Argentina, we achieved 30% reductions in storage costs and a forecast error below 15%. We perform cross-validation with historical data before putting the model into production.
It is not necessary. We handle the implementation, training, and maintenance of the models. We train your team in interpreting results and using the dashboards. We only require a technical contact to coordinate the integration.