AI-Powered Intelligence

The future of
forecasting & inventory
is explainable AI

We combine proven analytical methods — regression, exponential smoothing and propriety analytical methods — with cutting-edge public and self built AI tools from ensemble trees to LSTM networks, Temporal Fusion Transformers, and zero-shot foundation models. Every system is tailored to your organization, every prediction is transparent and explainable.

1,000+
Retail, pharma & industrial endpoints
6B+
Data points processed
20+
Years of forecasting expertise
What We Do

AI that understands your supply chain

We don't offer one-size-fits-all. Our platform intelligently selects the optimal AI model and associated feature set architecture for each forecasting challenge your business faces.

Demand Forecasting

Predict future demand with high accuracy using AI models that learn from historical patterns, seasonality, external events, and local dynamics and features — even for slow-moving and intermittent items.

LSTM · TFT · Foundation Models

Inventory Optimization

Transform inventory planning with AI that balances availability, cost, and shelf life and hidden constraints. Our models learn planner adjustments and local constraints to deliver practical, actionable plans — whether for retail shelves, warehouse stocks, or distribution centers.

Ensemble Trees · Gradient Boosting

Explainable Intelligence

Every prediction comes with clear reasoning. Analysts see which features drove the forecast, understand model confidence, and maintain full control. No black boxes — only transparent AI.

Feature Attribution · Interpretability
Our AI Toolkit

The right model for every challenge

Not every forecasting problem is the same. Our platform evaluates data characteristics and automatically selects the optimal AI architecture — or combines multiple models for superior accuracy.

Deep dive into our technology
Ensemble Trees & Gradient Boosting
Slow-moving & intermittent demand patterns
LSTM Recurrent Networks
Long-term temporal dependencies & sequences
Temporal Fusion Transformers
Multi-horizon with attention-based interpretability
Zero-Shot Foundation Models
Cross-domain transfer learning at scale
Impact

Measurable results, proven at scale

1,000+
Endpoints across retail, pharma & industry
100K+
SKUs forecasted across clients
>20%
Improvement in forecast accuracy
20+
Years of continuous innovation
Performance

AI-driven accuracy gains — visualized

Our models consistently outperform traditional statistical methods across demand categories, delivering measurable improvements in forecast accuracy and inventory efficiency.

Forecast Accuracy by Method

AI models vs. traditional statistical methods across demand pattern types

Monthly Forecast Error Reduction

MAPE reduction over 12 months after AI deployment

Model Selection Distribution

Which AI architecture is best for each demand pattern

Inventory Optimization Impact

Service level vs. safety stock before and after AI

Anomaly Detection Precision

AI detection of demand anomalies vs. rule-based alerts

Expertise

Analytics & AI — the full forecasting spectrum

We don't just do AI. We combine proven analytical methods with cutting-edge machine learning — choosing the right approach for each challenge, each dataset, each client.

ForecastPlanner™

Our proven demand planning platform

ForecastPlanner is a cloud-based SaaS forecasting, inventory optimization, and business analysis platform. It utilizes multiple data sources, hierarchies, product life cycle stages, and noisy and promotional datasets to create "best of breed" forecasts — improving accuracy by at least 20% while requiring minimal manual intervention.

The platform integrates seamlessly with SAP, Oracle Demantra, JDA Manugistics, and custom SCM systems, providing immediate results, quick ROI, and low cost of ownership. Full business intelligence through customized Power BI dashboards gives managers and planners complete control.

Explore ForecastPlanner
Regression & Exponential Smoothing
Proven statistical foundations for stable demand
ARIMA & Croston's Method
Intermittent & sporadic demand patterns
Noise Analysis & Pattern Recognition
Segmentation-based filtering & event detection
Lifecycle & Segmentation Engine
Steady, sporadic, seasonal, launch, phase-out

Analytical & Statistical Methods

Our platform automatically selects the best analytical approach for each item and location: regression analysis for trend-driven items, exponential smoothing for stable demand, ARIMA for seasonal patterns, and Croston's method for intermittent products. A special noise analysis module uses segmentation, local and global windows, and hierarchical information to detect and filter noise without losing trend and seasonality signals.

This analytical depth is what sets us apart from pure-AI competitors — we know exactly when a proven statistical method outperforms deep learning, and when to deploy our AI arsenal. The result is practical, accurate, and auditable forecasts.

Full-Spectrum Capabilities

Daily & Weekly Demand Forecasting — Multi-granularity predictions at product × location level
Promotion & Event Forecasting — Uplift modeling for holidays, campaigns, and market events
Lifecycle-Aware Inventory Planning — Different models for launch, growth, steady-state, and phase-out
Anomaly Detection & Noise Filtering — Automatic identification via pattern recognition and segmentation
Dynamic Safety Stock Optimization — Segment-specific targets: steady, sporadic, seasonal, short lifecycle
Our Approach

Built to fit your organization. Built to last.

The right technology is meaningless without the right fit. We design every deployment to integrate seamlessly into your organizational structure and deliver value for years — not months.

Tailored to You

No two organizations are alike. We adapt our analytical and AI toolkit to your specific data landscape, business rules, demand patterns, and operational constraints — never forcing a one-size-fits-all solution.

Built for Longevity

Our solutions are designed to grow with your business for years. Continuous learning, self-adapting models, and low maintenance requirements mean you invest once and benefit for a decade — as our longest-standing client partnerships prove.

Seamless Integration

We don't just install software — we create processes that embed into your organizational structure. From IT systems to planner workflows to executive reporting, the solution becomes an integral part of how your teams operate.

20%+
Accuracy improvement
10+
Year partnerships
Low
Cost of ownership
Quick
Return on investment
Trusted By

Industry leaders rely on OgenTech

Whirlpool Nestlé Migros Shufersal Clalit Health Cellcom
Success Stories

Proven across industries

AI 560+ Pharmacy Network
Healthcare · Featured

AI Logistics Brain for Israel's Largest Healthcare Provider

How OgenTech deployed an AI-powered foundation model across 560+ pharmacies at Clalit Health Services to revolutionize drug inventory planning — handling routine operations and crisis scenarios alike, with 6 billion data points driving every decision.

Read Full Case Study
Multi-Format Retail Network
Retail · Ongoing

AI-Powered Demand Forecasting for Israel's Largest Supermarket Chain

OgenTech has been providing Shufersal with demand forecasting and inventory optimization for years — covering daily forecasts across all products, stores, and formats. The partnership now extends to AI/ML-powered dynamic safety stock optimization, promotion uplift modeling, and anomaly detection, deployed on Amazon AWS cloud infrastructure.

Daily Forecasting Promotion Modeling Anomaly Detection AWS Cloud
Global Track Record

Trusted by industry leaders worldwide

From multinational manufacturers to national retailers and healthcare providers — OgenTech builds forecasting and inventory systems that become an indispensable part of each organization's operations for years.

Manufacturing

Built demand forecasting and inventory optimization for Whirlpool North America and Whirlpool Europe, Nestlé, and Nestlé Waters NA — managing complex global supply chains with thousands of SKUs across multiple markets and distribution channels.

Whirlpool · Nestlé

Retail

Deployed forecasting systems for Shufersal (Israel's largest supermarket chain), The Migros Industries (Switzerland), and other leading retailers — covering daily demand, promotions, planogram quantities, and dynamic safety stock across multi-format store networks.

Shufersal · Migros

Healthcare & Telecom

Built an AI-powered "logistics brain" for Clalit Health Services across 1,000 pharmacies, and deployed forecasting solutions for Cellcom and other organizations — proving our platform adapts to any industry with time-series data and associated features.

Clalit · Cellcom
Universal Platform

Any organization. Any time series. Any inventory.

If your organization has time-series data and associated features, we can create accurate, explainable forecasts. If your organization holds inventory — whether on retail shelves, in distribution centers, or across a pharmacy network — we can optimize stock levels, planogram quantities, and all associated parameters.

Our solutions integrate seamlessly into your organizational structure, delivering efficiency, accuracy, and longevity — creating a process built to last for years, not months.

Let's discuss your needs

Ready to transform your forecasting?

Let's explore how analytics and AI can optimize your forecasting and inventory operations — in any industry.

Schedule a Conversation