Time to Pick

Related KPIs

Time to Pick Interpretation

High values for Time to Pick indicate potential bottlenecks in the picking process, which may lead to delayed shipments and dissatisfied customers. Low values reflect streamlined operations and effective resource allocation. Ideal targets typically fall below 30 minutes for standard orders.

• <15 minutes – Exemplary performance; indicates optimal picking efficiency
• 16–30 minutes – Acceptable; monitor for potential improvements
• >30 minutes – Needs attention; investigate process inefficiencies

Time to Pick Benchmarks

• Retail industry average: 20 minutes (Gartner)
• Top quartile e-commerce: 12 minutes (McKinsey)

Common Pitfalls

Many organizations overlook the impact of inefficient picking processes on overall supply chain performance.

• Failing to invest in modern picking technologies can lead to outdated practices. Manual processes increase error rates and slow down order fulfillment, negatively affecting customer satisfaction.
• Neglecting staff training on best practices results in inconsistent picking speeds. Employees may struggle with outdated systems, leading to variability in performance and increased pick times.
• Ignoring data analytics prevents organizations from identifying root causes of delays. Without insights into picking patterns, businesses miss opportunities to streamline operations and improve efficiency.
• Overcomplicating the picking process with excessive steps can confuse staff. Simplifying workflows and minimizing unnecessary tasks can lead to faster pick times and improved accuracy.

Improvement Levers

Enhancing Time to Pick requires a focus on process optimization and technology integration.

• Implement automated picking systems to reduce human error and speed up order fulfillment. Technologies like robotics and AI can significantly enhance picking accuracy and efficiency.
• Regularly review and optimize warehouse layout to minimize travel time for pickers. A well-organized space can streamline operations and reduce the time spent locating items.
• Utilize real-time data analytics to monitor picking performance continuously. This allows for quick adjustments to workflows based on observed trends and operational bottlenecks.
• Encourage cross-training among staff to increase flexibility in workforce allocation. A versatile team can adapt to peak times and ensure consistent performance across shifts.

Time to Pick Case Study Example

A leading e-commerce retailer faced challenges with its Time to Pick, averaging 35 minutes, which negatively impacted customer satisfaction and repeat business. The company initiated a comprehensive review of its warehouse operations, identifying key inefficiencies in the picking process. By adopting a new warehouse management system and implementing automated picking solutions, the retailer aimed to streamline operations and enhance performance.

Within 6 months, the Time to Pick was reduced to 18 minutes. This improvement was achieved through better inventory organization and the introduction of mobile picking devices that guided staff to the fastest routes. The company also invested in training programs, ensuring employees were well-versed in the new technologies and processes.

As a result, customer satisfaction scores improved significantly, with repeat purchase rates increasing by 25%. The enhanced efficiency not only boosted cash flow but also allowed the retailer to allocate resources toward expanding its product offerings. The success of this initiative positioned the company as a leader in operational excellence within the e-commerce sector.