Capt Tim Wingert
Logistics OfficerCaptain Wingert began his military career in the United States Marine Corps after successfully completing Recruit Training at Parris Island, South Carolina in March 2014 as a Private First Class. He then graduated Marine Combat Training at Camp Geiger, North Carolina in April 2014 and was assigned the Military Occupational Specialty 2871, Calibration Technician. He attended Basic Calibration Technician's Course at Keesler Air Force Base in Biloxi, Mississippi from April 2014 until November 2014. While there, he was promoted to the rank of Lance Corporal in September 2014. Captain Wingert received orders to Combat Logistics Battalion 3, Marine Corps Base Hawaii and reported in December 2014. During his time in this unit, Captain Wingert performed duties as a calibration technician in the Communications Electronics Maintenance Platoon in Support Company. He was promoted to the rank of Corporal in September 2016 and became the Platoon Training NCO as well as the Technical Manager for the calibrations facility. Captain Wingert attended Corporals Course in January 2017. He was promoted to the rank of Sergeant in March 2018 and became the Organics Chief, Floor Chief, and remained the Technical Manager for the calibrations facility. In March 2018, Captain Wingert was selected to attend Officer Candidate School OCC-228 as a part of the Enlisted Commissioning Program. He reported to Quantico, Virginia on 2 June, 2018.
Captain Wingert was commissioned as a Second Lieutenant in the Marine Corps on 11 August, 2018 through the Officer Candidate Course and then reported to The Basic School in October, 2018. While at The Basic School, he was selected as a Logistics Officer and reported to Logistics Officer Course in Camp Lejeune, North Carolina in June 2019. Upon graduating, Captain Wingert received the Military Occupational Specialty of 0402.
In September 2019, Captain Wingert reported to Combat Logistics Battalion 1, 1st Marine Logistics Group to serve as the Maintenance Management and S-4 Officer. He was promoted to First Lieutenant in August 2020. During this tour, Captain Wingert completed a deployment as the S-4 Officer for Combat Logistics Detachment 31, Special Purpose MAGTF Crisis Response - Central Command to Kuwait. Upon his return from deployment, Captain Wingert reported to Combat Logistics Battalion 1 in April 2021 and served as a Platoon Commander for First Platoon, Motor Transport Company.
Captain Wingert reported to Recruiting Station Louisville in May 2022 to serve as the Officer Selection Officer Lexington, Kentucky. He was promoted to Captain in March 2023. Captain Wingert completed his recruiting tour in June 2025 and reported to Expeditionary Warfare School, Quantico, Virginia in July 2025 where he is currently serving as a student with a graduation date of May 2026.
Captain Wingert has been married for 9 years to the former Sara Beam of Midlothian, Virginia; they have two children, Ella and Nina.
USMC and the use of Artificial Intelligence Predictive Demand Planning in a Contested Information Environment
This paper argues that we must integrate artificial intelligence into predictive demand planning if we are to remain competitive in contested informat…This paper argues that we must integrate artificial intelligence into predictive demand planning if we are to remain competitive in contested information environments, particularly against adversaries already leveraging AI-enabled logistics. Commerci…This paper argues that we must integrate artificial intelligence into predictive demand planning if we are to remain competitive in contested information environments, particularly against adversaries already leveraging AI-enabled logistics. Commercial firms such as Amazon and FedEx demonstrate how AI-driven forecasting, simulation modeling, and large language models can optimize inventory placement, anticipate demand,a nd accelerate decision-mak…This paper argues that we must integrate artificial intelligence into predictive demand planning if we are to remain competitive in contested information environments, particularly against adversaries already leveraging AI-enabled logistics. Commercial firms such as Amazon and FedEx demonstrate how AI-driven forecasting, simulation modeling, and large language models can optimize inventory placement, anticipate demand,a nd accelerate decision-making. By contrast, we continue to rely on fragmented data systems, static planning methods, and limited interoperability, which slow throughput and increase risk in high-tempo, and dispersed operations. Without secure integration of predictive analytics int our command-and-control systems, we risk delayed resupply, maintenance shortfalls, and exploitable logistical vulnerabilities - especially in theaters like INDOPACOM where distance, dispersion, and adversary anti-access capabilities compound sustainment challenges. To address this gap, we propose three complementary courses of action: AI-enbaled predictive logistics for maintenance and demand forecasting, AI-optimized contested distribution routing, and AI-prioritized additve manufacturing. Predictive models would allow us to anticipate equipment failures and supply requirements before they occur, reducing downtime and emergency resupply. AI-driven routing tools would enhance survivability by optimizing movement across contested domains based on ISR patterns, weather, and platform availability. Finally, additive manufacturing, guided by AI to prioritize mission critical parts, would reduce our reliance on vulnerable supply lines. Together, these solutions provide a phased, practical path to transforming our logistics enterprise from a reactive support function into a resilient, data-driven combat advantage. Show MoreClick the title to see all detailsShow More
