Daniel Eberle Email & Phone Number

Oversaw deployment management strategy for a company with over $35.6B in annual revenue, standardizing processes toimprove loading from a baseline 73% to standard to 95% to standard for a $18MM Continuous Improvement project. Led a team of 8, overseeing all training and development to ensure a 100% staff retention rate, with 5 staff members receivingpromotions to management positions across the company after successful completion of a high-profile project. Implemented a suite of process improvements to improve selection performance from 96.56% to standard up to 103.72%within 7 weeks, while reducing unproductive gap hours from 22.85% down to 6.76%, saving $476K per year. Analyzed data to determine warehouses were wasting 2-3 hours a night due to poor barcode maintenance with selectorsmanually verifying items, training the staff to remove waste from those markets, saving $1.2MM per year. Created and maintained over 45 user guides, material development, training materials and job aids regarding the software,hardware, and work processes, while training >100 market leaders on how to utilize tools to eliminate waste.

Piloted a new method of using the selection technology to gain 4% cases per hour, while leading a team of up to 4 staff todeploy new technology across the organization and oversee the successful implementation. Deployed new software that helped to create performance standards for loaders, giving individual markets the ability tomonitor and enforce a minimum performance expectation of 100% to standard. Trained over 175 staff on the use of the new loading software, with the pilot demonstrating an increase in the number ofpallets loaded per hour from 24 to 31, while increasing performance from 71% to standard to 90%. Spearheaded the implementation of software that resulted in scheduling adjustments, reducing loading hours paid by anaverage of 3 hours per day, saving the company over $1.37MM per year. Trained over 900 order selectors on preferred and best practice work methods, while deploying new selection technology toachieve a mispick rate of 0.04 per 1K cases selected, improving accuracy by 95.56%.

over 3 departments ranging from 12 up to 25 selectors, implementing a suite of performance management techniques toensure a minimum of 100% to standard and under 1.0 errors per 1K cases selected. Developed and launched a Loader Rewards program to incentivize staff to minimize errors, reducing operations errors by 0.03errors per 1K cases per week, and optimizing workflow with an average of 35 pallets loaded per hour.

Served as a night warehouse loader and selector, safely and securing loading over 30 pallets per hour, while accuratelyselecting orders for customers, averaging 0.09 mispicks per 1K cases per week. Successfully trained over 20 new hire selectors, ensuring they would perform at or above 100% to standard within 90 days ofhire, while personally averaging 115% to standard weekly.