AI-Powered Data Analysis and Optimisation
PREDICTIVE POWER FOR PROACTIVE DECISIONS
Artificial Intelligence at the service of data-driven strategy: Dyntell AI solutions utilise predictive models and real-time alerts to support proactive operations and optimisation.
With Dyntell’s solutions, companies can move beyond analysing historical data and anticipate what lies ahead. AI-supported predictive models help inform strategic decisions, optimise operations, and build a truly data-driven culture. The system doesn’t just analyse; it interprets data – connecting the experiences of the past with the opportunities of the future.
What can the system do?
PREDICTIVE FORECASTING
AI models create accurate estimates for future sales volumes, market demand, cash flow, or even production schedules. Companies can plan proactively and avoid shortages, overstocking, or capacity issues.
PROACTIVE ALERTS
The system predicts when a KPI is likely to be missed, allowing for timely intervention. For example, if a sales target is at risk halfway through the month, a targeted promotion or resource reallocation can be initiated.
EXTERNAL-INTERNAL CORRELATION ANALYSIS
It can find correlations with hundreds of external time series – even with a time lag. For example: the impact of changes in interest rates, weather, or geopolitical events on internal sales data.
OPTIMISED PRICING
The price sensitivity dashboard analyses how price affects demand. This enables the strategic setting of more effective prices to maximize profit, revenue, or market share.
INVENTORY OPTIMISATION
The system calculates optimal inventory levels for each item based on historical data and external factors, also providing procurement suggestions. This reduces tied-up capital and increases supply security.
MICRO-SEGMENTATION
The system can identify natural groups (clusters) based on customers, products, or events, which serves as a foundation for more targeted offers, promotions, or development directions.
ANOMALY DETECTION
Automatically identifies erroneous, outlier, or suspicious values in the database.
- Manufacturing: filtering out defective products
- Finance: detecting suspicious transactions
- HR Data: screening for manual data entry errors
- IT Environment: noticing unusual user behavior
Key References
System applications
Sales and Marketing
Product- and region-level sales forecasts
Dynamic pricing models
Micro-segmented marketing campaigns targeting the best customer segments
Predictive optimisation of promotional periods
Finance
Cash flow forecasts with multiple scenarios
Analysis of cost structures and prediction of variances
Identification of suspicious transactions and irregularities
Revenue and margin forecasting at product or customer level
Manufacturing and Production
Optimisation of process parameters
Fine-tuning of production plans based on demand
Automated detection of defective products
Increasing energy efficiency through predictive control
Logistics and Supply Chain
Calculation of optimal inventory levels for every item
Forecasting supply chain disruptions based on external factors
Optimisation of delivery routes
Predictive maintenance scheduling for equipment and vehicles
Technological background
The solution is built upon Dyntell’s proprietary BI system, which enables deep and intelligent analysis of business data—enhanced with Artificial Intelligence-based models. The system connects easily to various data sources and is flexibly adaptable to specific business needs.
- Advanced Machine Learning Algorithms
- Predictive Alert Logic with dynamic KPI monitoring
- Recognition of delayed effects using a proprietary correlation engine
- Integration of various data source types, such as:
- ERP data (e.g., inventory, orders, shipments)
- CRM data (e.g., customer behavior, sales activities)
- Financial data (e.g., cash flow, margins, costs)
- Sensor data and IoT systems (e.g., production line measurements)
- External time series (e.g., weather, exchange rates, macroeconomic indicators)
AI-Powered Data Analysis – Measured in Real Business Value
Forward-Looking Decisions
Predictive Analytics: Don’t just react to the past—prepare for the future!
Maximum Data Utilisation
Connecting ERP, CRM, and external data with business intelligence and Artificial Intelligence.
Rapid ROI
First results can be seen in a matter of weeks.
AI Serving Strategy
Automatic pattern recognition and early warnings for critical changes.
Scalable and Modular
Start small and expand gradually across business areas.
Local Development, Hungarian Support
Dyntell BI – Stable technology, with 25 years of expertise.
Make your company's operations transparent, request a free consultation!
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