Requisition-to-Order Time is a critical KPI that measures the efficiency of procurement processes, directly impacting cash flow and operational efficiency.
A shorter time frame enhances supplier relationships, improves inventory management, and accelerates product availability.
Organizations that optimize this metric can expect to see improved financial health and better alignment with strategic goals.
By leveraging data-driven decision-making, businesses can enhance their forecasting accuracy and reduce costs associated with delays.
This KPI serves as a leading indicator of overall supply chain performance and can significantly influence ROI metrics.
Timely requisition processes lead to faster order fulfillment, ultimately driving customer satisfaction and loyalty.
Low values for Requisition-to-Order Time indicate streamlined procurement processes, effective supplier engagement, and strong operational efficiency. High values may reveal bottlenecks, such as inefficient approval workflows or misaligned stakeholder priorities. Ideal targets typically range from 5 to 15 days, depending on industry standards and organizational complexity.
We have 15 relevant benchmark(s) in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | Business Hours | top quartile median | 2023 | purchase orders | cross-industry | global | more than 3,000 customers |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | Hours | average | 2018 | all requisitions | cross-industry | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | hours | median | 2014 | requisition line items / purchase orders | cross-industry (top performers cohort) | 51 top performers (out of 514 organizations) |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | aerospace and defense |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | chemical manufacturing |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | engineering and construction |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | industrial manufacturing |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | petroleum |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | direct goods | utilities |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | aerospace and defense |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | chemical manufacturing |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | financial services |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | industrial manufacturing |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | petroleum |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | days | average | 2014 | indirect goods and services | utilities |
Many organizations underestimate the impact of inefficient requisition processes on overall supply chain performance.
Enhancing Requisition-to-Order Time requires a focus on process optimization and stakeholder engagement.
A leading electronics manufacturer faced challenges with its Requisition-to-Order Time, which had ballooned to 20 days, impacting its ability to meet customer demand. The company initiated a comprehensive review of its procurement processes, identifying key areas for improvement, including supplier engagement and approval workflows. By implementing a cloud-based procurement platform, the organization automated many manual tasks, significantly reducing processing times.
Within 6 months, the manufacturer achieved a 30% reduction in requisition-to-order time, bringing it down to 14 days. This improvement not only enhanced supplier relationships but also allowed the company to respond more swiftly to market changes. The procurement team adopted a data-driven approach, utilizing dashboards to monitor performance and identify trends that needed addressing.
As a result, the company saw a 15% increase in order fulfillment rates and a notable boost in customer satisfaction scores. The success of this initiative led to a reallocation of resources towards strategic sourcing, further enhancing the organization’s competitive position in the market. The procurement team was recognized as a key driver of operational efficiency and business growth.
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What is a good Requisition-to-Order Time?
A good Requisition-to-Order Time typically ranges from 5 to 15 days, depending on the industry and complexity of the procurement process. Organizations should aim for the lower end of this range to enhance operational efficiency.
How can technology improve this KPI?
Technology can automate approval workflows and streamline communication with suppliers. This reduces manual errors and accelerates the requisition process, leading to faster order fulfillment.
What role does supplier performance play?
Supplier performance directly impacts Requisition-to-Order Time. Regular evaluations and open communication with suppliers can lead to improved responsiveness and reduced lead times.
How often should this KPI be monitored?
Monitoring should occur at least monthly to identify trends and address bottlenecks promptly. Weekly reviews may be beneficial for organizations with rapidly changing demands.
Can this KPI affect customer satisfaction?
Yes, a shorter Requisition-to-Order Time enhances order fulfillment rates, which directly contributes to improved customer satisfaction. Customers appreciate timely deliveries and responsiveness.
What are the consequences of a high Requisition-to-Order Time?
A high Requisition-to-Order Time can lead to stockouts, missed sales opportunities, and strained supplier relationships. It may also indicate inefficiencies in the procurement process that need addressing.
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