Optimization
Data analysis together with algorithms capable of making predictions and suggesting actions allows better decisions and the optimization of processes and operations.
Assortment optimization
AI-powered optimization prevents stockouts by sending more inventories to stores where products are most needed.
Pricing optimization
AI models can be used to determine the best price for each item.
Supply chain management optimization
Multiple data is used to predict optimal resource needs at each stage of production or to find anomalous behaviors in current resource utilization.
Transportation optimization
AI based transportation optimization leverages route information, weather data, fuel cost and other such factors to arrive at the best possible route as well as to predict the quality of goods at the destination.
Resources and budget optimal allocation
It seeks to filter out elements that create confusion and combine financial objectives with the necessary marketing decisions to reach segments that maximize growth.
Cash optimization (ATMs)
Cash demand forecast models are built for each ATM based on historical cash demand data and seasonal trends.
Schedules on production lines optimization
Patterns can be recognized in data sets that can help to optimize schedules in production lines.
Anomaly detection
This time series process analyzes expected data volumes based on historical patterns and enables real-time decision making when transactions exceed or fall below set limits.
Optimization based on supply times
AI can generate very accurate predictions that allow decisions to be made based on actual supply times.
Smart integration with business partners
With a model of evaluation and predictive monitoring of business partners in real time, a company can calculate possible failures that will affect the supply chain.
Case solution time optimization
AI case management systems with machine learning capabilities can optimize customer service, decrease response times and offer the best solution.
