AI for analytics collects data, builds reports, detects anomalies and generates forecasts for BI, CRM, ERP and DWH.
Our clients
AI automates data collection, metric analysis, report building, insight generation, and forecasting. It works with BI, CRM, ERP, DWH, and corporate documents, speeding up analytics preparation and reducing the load on mid-sized and large business teams. Speed, depth of analysis, and issue alerting
AI automates data collection and interpretation, removing routine work: it gathers data from CRM, ERP, DWH, and BI, unifies metrics, compares periods, finds deviations, and produces ready-made conclusions.
Analysts are freed from manual preparation.
The system automatically finds sales drops, rising costs, data errors, demand spikes, or falling conversion rates. AI explains why it happened and flags risks.
Report, summary, and recommendation generation. AI creates PDFs, presentations, BI summaries, executive summaries, and scenario-based forecasts.
It structures data, turns it into text insights, and suggests action options for management.
Scenario forecasts and analysis of future periods. AI builds models to forecast sales, inventory, traffic, margin, advertising impact, and budgets.
This helps manage the business proactively, not after the fact.
We implement AI solutions that automatically collect data, analyze metrics, generate insights, detect anomalies, build forecasts, and create ready-made reports. This speeds up decision-making and reduces the load on BI and analytics teams. The solution includes:
AI for automated data analysis in BI and DWH.
Report, summary, dashboard, and executive summary generation.
Forecasting sales, inventory, traffic, revenue, and deviations. Business result:
Faster analytics and less manual work.
Fast management decisions based on facts.
Data transparency and automation of reporting processes. Solutions without unnecessary complexity, from idea and analysis to result
We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results
We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value
Companies that have implemented AI in analytics see measurable results in the first quarter. 70% time savings on report collection and preparation 50% faster root-cause analysis of KPI deviations 30% higher forecast and scenario accuracy 3 months average payback period Customer feedback
