Procurement Glossary
Delivery schedule: Strategic planning tool for procurement
November 19, 2025
A delivery schedule is a central control instrument in procurement that regulates the timing and quantity of goods deliveries between suppliers and companies. Delivery dates, quantities and quality requirements are defined in a binding manner through structured planning in order to ensure optimum security of supply. Find out below what makes an effective delivery schedule, which methods are used and how current developments influence delivery planning.
Key Facts
- Coordinates time and quantity deliveries between suppliers and companies
- Reduces storage costs thanks to just-in-time deliveries in line with demand
- Improves planning reliability and minimizes production downtime
- Enables better capacity planning for suppliers and customers
- Digital systems are increasingly automating delivery planning processes
Contents
Definition: Scheduling agreement - meaning, delimitation and use
A delivery schedule defines the systematic planning and control of material deliveries over a defined period of time.
Basic components of a scheduling agreement
A structured delivery plan comprises several essential elements that are required for successful implementation:
- Delivery dates and time window for delivery
- Quantities and order volumes per delivery
- Quality specifications and test requirements
- Logistical framework and delivery conditions
Scheduling agreement vs. call-off order
While a call-off represents a concrete, short-term requirement, the delivery schedule forms a strategic framework for medium-term planning. The delivery schedule creates planning security over several months, while call-offs enable operational adjustments.
Importance of scheduling agreements in Procurement
Delivery schedules optimize the entire supply chain through improved predictability and coordination. They enable demand-oriented production control and at the same time reduce capital commitment due to excessive stock levels.
Methods and procedures
Delivery schedules are created and implemented using proven methods that vary depending on the industry and company size.
Determining demand and forecasting models
The basis of all supply planning is a precise determination of demand. Statistical methods, trend analyses and seasonal factors are incorporated into the forecast. Modern ERP systems support demand forecasting with automated algorithms and machine learning.
Collaborative planning with suppliers
Successful delivery planning requires close cooperation between Procurement and suppliers. Regular coordination, joint planning workshops and transparent communication create the basis for reliable delivery plans. Optimized transport concepts are developed jointly.
Digital planning tools and integration
Modern delivery planning uses integrated software solutions that merge real-time data from different systems. EDI interfaces enable automatic data exchange, while dashboard solutions create transparency regarding delivery status and deviations.
Tacto Intelligence
Combines deep procurement knowledge with the most powerful AI agents for strong Procurement.
Important KPIs for delivery schedule
Successful delivery planning requires continuous measurement and evaluation of relevant key figures.
Delivery reliability and meeting deadlines
Delivery reliability measures the percentage of on-time deliveries according to the delivery schedule. Target values are typically 95-98% for critical materials. Deviation analyses identify systematic problems and potential for improvement. Early warning systems enable proactive measures to be taken in the event of impending delays.
Planning accuracy and forecast accuracy
Planning accuracy compares forecast requirements with actual requirements over defined periods. Measurements are taken at various aggregation levels (article, product group, total requirements). High planning accuracy reduces safety stocks and optimizes capital commitment.
Inventory optimization and service level
Optimal delivery schedules balance availability and inventory costs. The service level measures the ability to deliver in response to customer inquiries, while stock ranges and turnover rates evaluate efficiency. Order quantity optimization supports cost-efficient procurement.
Risks, dependencies and countermeasures
Delivery schedules involve various risks that can be minimized by taking appropriate measures.
Forecast inaccuracies and planning risks
Inaccurate demand forecasts lead to oversupply or undersupply with corresponding costs. Seasonal fluctuations, market changes and unforeseen events influence the quality of planning. Regular planning reviews and flexible adjustment mechanisms significantly reduce these risks.
Supplier dependencies and default risks
High dependence on individual suppliers increases supply risks in the event of production downtime or quality problems. A diversified supplier base, qualified replacement suppliers and continuous performance monitoring create security. Contractual agreements should include escalation mechanisms and compensation regulations.
System failures and communication risks
Technical faults in planning systems or communication channels can jeopardize delivery schedules. Redundant systems, manual backup processes and clear escalation paths ensure continuity. Regular system tests and emergency plans minimize downtimes and their effects.
.avif)
Practical example
An automotive supplier implements a digital delivery schedule for electronic components. Weekly delivery quantities for the next 12 weeks are determined based on the OEM's production plans. The system takes into account minimum order quantities, transport capacities and storage restrictions. In the event of changes to the plan, all parties involved are automatically notified with an impact analysis.
- Reduction of stock levels by 25% through precise demand planning
- Improved delivery reliability from 92% to 98% thanks to better coordination
- Procurement costs reduced by 8% thanks to optimized order quantities
Current developments and effects
Delivery planning is subject to continuous change due to technological innovations and changing market requirements.
AI-supported delivery planning
Artificial intelligence is revolutionizing delivery planning through more precise predictions and automated adjustments. Machine learning algorithms analyze historical data, external factors and market trends to determine optimal delivery quantities and dates. Predictive analytics enables proactive measures to be taken in the event of impending delivery bottlenecks.
Sustainable supply chain design
Environmental aspects are becoming increasingly important in supply planning. Consolidated deliveries reduce CO2 emissions, while regional procurement strategies shorten transportation routes. Efficient logistics concepts support sustainable goals without compromising on security of supply.
Agile planning approaches
Volatile markets require flexible delivery plans with short adjustment cycles. Rolling forecasts replace rigid annual planning, while scenario planning takes various market developments into account. Digital platforms enable rapid communication and adaptation to changing requirements.
Conclusion
Delivery schedules are indispensable tools for efficient and cost-optimized procurement. They create planning security for all parties involved and enable the optimization of inventories, costs and service levels. Digital technologies and AI-supported approaches open up new possibilities for more precise forecasts and automated adjustments. However, successful supply planning still requires close collaboration between Procurement, suppliers and internal stakeholders.
FAQ
What is the difference between a scheduling agreement and a framework agreement?
A framework agreement defines basic conditions and prices, while the delivery schedule specifies concrete quantities and dates. The delivery schedule operationalizes the framework agreement through specific call-offs and delivery dates over a defined planning horizon.
How often should scheduling agreements be updated?
The update frequency depends on market dynamics and product characteristics. Weekly or monthly updates with rolling planning are typical. Critical materials require more frequent adjustments, while stable requirements allow for longer planning cycles.
What are the prerequisites for successful delivery planning?
Successful delivery planning requires precise demand forecasts, reliable suppliers and integrated IT systems. Clear processes, defined responsibilities and regular communication between all parties involved are further success factors for effective delivery plans.
How are delivery schedule deviations handled?
Deviations require systematic root cause analysis and defined escalation processes. Minor deviations are compensated for by buffer stocks or flexible delivery dates. Major disruptions require contingency plans with alternative suppliers or production adjustments to maintain supply.
.png)
.png)
.png)
