Greater Efficiency, Lower Risk
KEBA Digital helps retailers accurately predict demand, stabilize supply chains, and optimally plan workforce deployment – powered by artificial intelligence that listens to your data. By turning forecasts into actionable strategies, we enable retailers to reduce waste, prevent stockouts, and boost profitability.
The Challenge:
Complexity and Uncertainty in Retail
Volatile supply chains, seasonal fluctuations, and changing consumer behavior make planning in retail increasingly difficult.
Lack of transparency regarding future demand leads to overstocking, out-of-stock situations, and missed revenue opportunities.
Rigid shift schedules also create inefficiencies in workforce planning: overstaffing during slow periods and understaffing during peak times – negatively impacting costs, service quality, and customer satisfaction.
The Solution:
AI-Powered Forecasting & Planning Models
KEBA Digital delivers modular, intelligent solutions that combine historical data, external factors, and real-time information.
Our AI models identify patterns, forecast demand, and optimize operational decisions – from merchandise planning to workforce deployment.
Demand Forecasting – Precise Sales Forecasts at All Levels
Based on historical sales data, weather, events, and seasonal patterns, our machine-learning and time-series models (e.g. LSTM, gradient boosting) generate highly accurate sales forecasts at product, store, or regional level.
Benefits:
- Optimized product availability and replenishment
- Reduction of overstocking and stock-outs
- Greater revenue stability, even during seasonal peaks
Supply Chain Forecasting – Building Resilient Supply Chains
By analyzing delivery, inventory, and returns data, our AI detects potential bottlenecks and risks at an early stage.
Graph-based network analyses identify critical points in the supply chain and enable proactive control.
Benefits:
- Early risk detection in the supply chain
- More efficient inventory and returns management
- Improved delivery reliability and planning certainty
Visualization of Planning & Forecasting
AI-Powered Assortment Planning / Category Management
Using clustering algorithms and regression models, KEBA Digital analyzes sales data, product life cycles, and demand patterns.
This enables data-driven recommendations for assortment decisions and shelf placement.
Benefits:
- Improved assortment structure through data-driven decisions
- Higher space productivity and revenue per item
- Faster response to trends and seasonal products
AI-Powered Workforce Planning – Efficiency Meets Customer Experience
Our AI models forecast customer footfall per location based on historical visit data, weather information, events, and seasonal effects.
This makes shift planning dynamic and demand-driven.
Benefits:
- Improved service quality and reduced waiting times
- Optimized workforce deployment
- More satisfied employees and lower costs
Technological Foundation
KEBA Digital combines data science, machine learning, and AI within a scalable framework.
State-of-the-art methods are used, including:
- Time-series analysis & deep learning (LSTM, GRU)
- Regression & clustering models
- Gradient-boosted trees & decision forests
- Graph-based risk and network analyses
Our solutions are API-enabled, cloud-based, and can be integrated into common ERP, CRM, and merchandise management systems.
Your Benefits
with KEBA Digital
Cost Reduction
Lower inventory and staffing costs through data-driven planning
Efficiency Gains
Automated forecasting and decision support
Sustainability
Less waste and transportation through more precise planning
Increased Revenue
Better product availability and higher customer satisfaction
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