Logistics Operations -
Plan Ahead and Drive Efficiency with AI
With AI-driven forecasting and dynamic planning, KEBA Digital optimizes transport processes, capacity utilization, and delivery quality. Data-based, automated, and efficient. By anticipating bottlenecks and adapting in the shortest possible time, we help logistics operations stay agile, reliable, and cost-effective.
The Challenge:
Fluctuating Demand and Inefficient Resource Planning
In the transport and logistics sector, demand volatility, unpredictable supply chains, and unforeseen events often lead to inefficient planning. Vehicles sit idle while others are overloaded. Warehouse capacities are miscalculated, and routes need last-minute adjustments.
The result? High costs and dissatisfied customers.
Traditional planning models reach their limits because they rely on historical data without incorporating real-time context.
The Solution:
AI-based Forecasting and Planning Models
KEBA Digital brings transparency and agility to transport planning through Artificial Intelligence and Machine Learning.
Our models analyze historical data, seasonal trends, and real-time information to accurately predict demand, capacity needs, and delivery flows.
Demand Forecasting – Accurate Predictions for Transport Volumes
Our AI analyzes historical sales, order, and transport data, combining them with seasonal patterns and market trends. This enables precise forecasting of demand at product, customer, or segment level – optimizing transport and warehouse planning.
Benefits:
- Higher utilization and fewer empty miles
- Accurate resource planning for vehicles and staff
- Better alignment between production, warehousing, and transport
Capacity Planning & Load Forecasting –
Efficient Vehicle and Freight Allocation
Our AI evaluates order data, schedules, historical utilization, and transport availability. This allows proactive planning of load space and personnel, avoiding bottlenecks and optimizing fleet allocation.
Benefits:
- Reduction of empty runs and overcapacity through demand-driven planning
- Avoidance of peak-time bottlenecks
- More efficient workforce planning with better predictability for drivers and dispatchers
Visualizations for
Forecasting & Planning Use Cases
Technological Foundation
KEBA Digital combines Data Science, Machine Learning, and real-time data integration into a scalable framework for transport logistics:
- Time Series Analysis
- Reinforcement Learning
- Machine Learning
- Optimization Algorithms
- Real-time Data Integration
Your Benefits
with KEBA Digital
Cost Reduction
Fewer empty runs and better resource utilization
Efficiency Boost
Automated forecasts and route planning
Sustainability
Lower energy consumption and reduced CO₂ emissions
Customer Satisfaction
Improved delivery punctuality and predictability
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