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  • Formerly JDA. Same Expertise. A Fresh New Name.

    The Power of NOW

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When you need your supply chain to

Fullfill your potential


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Insights for VF

Please explore the resources and insights below that we’ve selected for the VF team.

  • COVID-Map.png

    Blog

    Mitigating the Impact of the Coronavirus on Supply Chains with Machine Learning and Real-Time Visibility

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  • Demo

    Live demonstration of Luminate Control Tower, with its built-in crisis control center to help companies to see, plan and act on real-time information

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  • Platform

    Meet Luminate™ Platform - the digital fulfillment platform built for now as the industry’s first platform that lets customers and developers build applications right on top of ours

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  • The future is now

    Will you be ready?

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Powering the Worlds Most Powerful Companies

  • Section 8

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  • Section 9

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  • How Do You Compare?

    Provide a business metric and immediately see how you compare against other Blue Yonder customers and industry standard

  • Pick your Industry

    Pick a Solution Area

    Pick a Solution Area

    Pick a Metric

    ×

    The weekly order fill rate is a metric that measures the percentage of customer orders that are accurately and completely fulfilled within a specific week. It provides insights into the efficiency and effectiveness of order fulfillment operations over a weekly time frame.

    To calculate the weekly order fill rate, you would divide the number of complete and accurate customer orders fulfilled during the week by the total number of customer orders received in the same week, and then multiply the result by 100 to express it as a percentage.

    Weekly Order Fill Rate = (Number of Complete and Accurate Orders Fulfilled in the Week / Total Number of Orders Received in the Week) x 100
    For example, if a company received 200 customer orders in a week and successfully fulfilled 180 of them accurately and completely, the weekly order fill rate would be:
    Weekly Order Fill Rate = (180 / 200) x 100 = 90%

    ×

    The median picks per day per user is a statistical measure that represents the middle value of the distribution of daily picking activity in a warehouse or fulfillment center. It indicates the number of items or products that are typically picked from the warehouse during a period of time.
    To calculate the median picks , you would collect the number of picks recorded for a given amount of time, arrange these daily pick counts in ascending order and find the middle value. If there is an odd number of daily pick counts, the median is the value exactly in the middle. If there is an even number of daily pick counts, the median is the average of the two middle values.
    The median picks per day is a useful metric for understanding the typical level of picking activity in a warehouse, especially when there may be extreme values (high or low) that could skew the average. It provides a representative value that helps warehouse managers and planners make informed decisions regarding resource allocation, staffing, and process improvements to efficiently handle the expected picking workload.

    Pick a Metric

    ×

    To calculate on-time pickup performance, you compare the actual pickup times with the scheduled or promised times. The percentage of shipments that are picked up within the agreed-upon window determines the on-time performance rate.

    ×

    To calculate on-time delviery performance, you compare the actual delivery times with the scheduled or promised times. The percentage of shipments that are delivered within the agreed-upon window determines the on-time performance rate.

    ×

    Individual load utilization is calculated by comparing the actual weight or volume of goods being transported to the maximum capacity of the vehicle or container. It is expressed as a percentage, representing the amount of available space that is utilized.

    Pick a Metric

    ×

    1 minus the MAPE (Mean Average Percentage Error) for a product at the highest level in it's hierarchy. Caluculate MAPE by

    1. Finding the forecast error for each period (actual-forecast)
    2. Calculate the percentage error by dividing the forecast error by the actual value
    3. Multiply by 100
    4. Sum the absolute errors and divde by the number of forecast errors (observations).

    Pick a Metric

    ×

    Active SKUs in stock refers to the inventory items or product variants that are currently available for sale and actively maintained in the retailer's inventory. These SKUs are the specific units or variations of a product that have been designated for sale and are actively tracked and managed in the inventory management system

    Enter % of Order Fill-Rate?

    ×

    The weekly order fill rate is a metric that measures the percentage of customer orders that are accurately and completely fulfilled within a specific week. It provides insights into the efficiency and effectiveness of order fulfillment operations over a weekly time frame.

    To calculate the weekly order fill rate, you would divide the number of complete and accurate customer orders fulfilled during the week by the total number of customer orders received in the same week, and then multiply the result by 100 to express it as a percentage.

    Weekly Order Fill Rate = (Number of Complete and Accurate Orders Fulfilled in the Week / Total Number of Orders Received in the Week) x 100
    For example, if a company received 200 customer orders in a week and successfully fulfilled 180 of them accurately and completely, the weekly order fill rate would be:
    Weekly Order Fill Rate = (180 / 200) x 100 = 90%

    Median Picks per day per user?

    ×

    The median picks per day per user is a statistical measure that represents the middle value of the distribution of daily picking activity in a warehouse or fulfillment center. It indicates the number of items or products that are typically picked from the warehouse during a period of time.
    To calculate the median picks , you would collect the number of picks recorded for a given amount of time, arrange these daily pick counts in ascending order and find the middle value. If there is an odd number of daily pick counts, the median is the value exactly in the middle. If there is an even number of daily pick counts, the median is the average of the two middle values.
    The median picks per day is a useful metric for understanding the typical level of picking activity in a warehouse, especially when there may be extreme values (high or low) that could skew the average. It provides a representative value that helps warehouse managers and planners make informed decisions regarding resource allocation, staffing, and process improvements to efficiently handle the expected picking workload.

    Enter % of Carrier Performance - Pickup?

    ×

    To calculate on-time pickup performance, you compare the actual pickup times with the scheduled or promised times. The percentage of shipments that are picked up within the agreed-upon window determines the on-time performance rate.

    Enter % of Carrier Performance - Delivery?

    ×

    To calculate on-time delviery performance, you compare the actual delivery times with the scheduled or promised times. The percentage of shipments that are delivered within the agreed-upon window determines the on-time performance rate.

    Enter % of Truckload Utilization?

    ×

    Individual load utilization is calculated by comparing the actual weight or volume of goods being transported to the maximum capacity of the vehicle or container. It is expressed as a percentage, representing the amount of available space that is utilized.

    Enter % of Forecast Accuracy?

    ×

    1 minus the MAPE (Mean Average Percentage Error) for a product at the highest level in it's hierarchy. Caluculate MAPE by

    1. Finding the forecast error for each period (actual-forecast)
    2. Calculate the percentage error by dividing the forecast error by the actual value
    3. Multiply by 100
    4. Sum the absolute errors and divde by the number of forecast errors (observations).

    Enter % of Active SKU's in Stock?

    ×

    Active SKUs in stock refers to the inventory items or product variants that are currently available for sale and actively maintained in the retailer's inventory. These SKUs are the specific units or variations of a product that have been designated for sale and are actively tracked and managed in the inventory management system





    • Your Score () vs Industry Best Practice ()
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      Profitablity improvement by increasing

    • Blue Yonder solutions that can assist :

       

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