Forecast With 92% Accuracy — Not Gut Feeling
AI analytics that predict demand, optimize inventory, and cut reporting time by 80%. Decisions backed by data, delivered daily.
Use Cases
Predictive Sales Forecasting
Forecast revenue, demand, and inventory needs with ML models
Weekly, monthly, quarterly predictions with confidence intervals
→ Forecast accuracy improved to 92%
Real-Time Analytics Dashboards
Track KPIs, metrics, and trends in one unified view
Custom dashboards for executives, managers, and teams
→ Decisions backed by real-time data
Automated Report Generation
Daily, weekly, monthly reports generated and emailed automatically
Executive summaries, trend analysis, anomaly alerts
→ Save 10+ hours per week on reporting
The Transformation
Your Path to Data-Driven Decisions
Discovery & Data Audit
We assess your data sources, quality, and current analytics maturity to design the optimal approach.
Architecture & Modeling
Design data pipelines, predictive models, and dashboard layouts tailored to your KPIs.
Build & Integration
Deploy analytics platform, train ML models, and connect to your data sources and BI tools.
Go-Live & Optimize
Monitored launch with model retraining. Dashboards refined based on user feedback.
ROI You Can Count On
Case Study
The Challenge
Nordiq managed inventory across 340 stores using spreadsheet-based forecasting. Stockout rate was 13.8%, causing EUR 4.2M in lost revenue annually. Overstock tied up EUR 28M in working capital.
Our Solution
We deployed AI demand forecasting integrated with their ERP, analyzing 18 months of sales data, weather patterns, and local events to generate store-level predictions updated daily.
We Integrate With Your Existing Tools
Tableau
Power BI
Looker
SnowflakeBigQuery
PostgreSQL
MongoDB
SAP
OracleNetSuiteDon't see your tool? We connect with 200+ platforms.
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