Introduction

The rapid adoption of augmented reality (AR) technologies in logistics and warehousing has transformed operational efficiency, accuracy, and worker productivity. Augmented Reality for Picking Training Course empowers warehouse personnel and supply chain managers to leverage AR-enabled devices and systems to optimize inventory picking, reduce errors, and improve fulfillment times. This course integrates hands-on simulations, real-world case studies, and interactive learning modules to provide participants with the skills and knowledge necessary to implement AR solutions in modern warehouse operations. Emphasis is placed on the use of wearable AR devices, smart glasses, and AR software platforms to enhance picking accuracy, streamline order fulfillment, and ensure seamless integration with warehouse management systems.

Participants will gain practical exposure to AR-driven picking processes, including order identification, route optimization, real-time inventory tracking, and error reduction techniques. The course covers emerging trends in AR logistics, best practices for deployment, and performance monitoring strategies. By focusing on technology adoption and workforce adaptation, this training equips organizations to maintain competitive advantage, reduce operational costs, and increase customer satisfaction. Additionally, the course highlights safety considerations, ergonomics, and change management principles critical for successful AR implementation in warehouse environments.

Programme Curriculum

 The rapid adoption of augmented reality (AR) technologies in logistics and warehousing has transformed operational efficiency, accuracy, and worker productivity. Augmented Reality for Picking Training Course empowers warehouse personnel and supply chain managers to leverage AR-enabled devices and systems to optimize inventory picking, reduce errors, and improve fulfillment times. This course integrates hands-on simulations, real-world case studies, and interactive learning modules to provide participants with the skills and knowledge necessary to implement AR solutions in modern warehouse operations. Emphasis is placed on the use of wearable AR devices, smart glasses, and AR software platforms to enhance picking accuracy, streamline order fulfillment, and ensure seamless integration with warehouse management systems. 

Participants will gain practical exposure to AR-driven picking processes, including order identification, route optimization, real-time inventory tracking, and error reduction techniques. The course covers emerging trends in AR logistics, best practices for deployment, and performance monitoring strategies. By focusing on technology adoption and workforce adaptation, this training equips organizations to maintain competitive advantage, reduce operational costs, and increase customer satisfaction. Additionally, the course highlights safety considerations, ergonomics, and change management principles critical for successful AR implementation in warehouse environments. 

Available Sessions

Aug 10 2026

10 Aug — 14 Aug 2026

online • Virtual session • Limited Availability
Aug 17 2026

17 Aug — 21 Aug 2026

online • Virtual session • Limited Availability
Aug 24 2026

24 Aug — 28 Aug 2026

online • Virtual session • Limited Availability
Aug 31 2026

31 Aug — 04 Sep 2026

online • Virtual session • Limited Availability
Sep 07 2026

07 Sep — 11 Sep 2026

online • Virtual session • Limited Availability
Sep 14 2026

14 Sep — 18 Sep 2026

online • Virtual session • Limited Availability
Sep 21 2026

21 Sep — 25 Sep 2026

online • Virtual session • Limited Availability
Sep 28 2026

28 Sep — 02 Oct 2026

online • Virtual session • Limited Availability
Oct 05 2026

05 Oct — 09 Oct 2026

online • Virtual session • Limited Availability
Oct 12 2026

12 Oct — 16 Oct 2026

online • Virtual session • Limited Availability
Oct 19 2026

19 Oct — 23 Oct 2026

online • Virtual session • Limited Availability
Oct 26 2026

26 Oct — 30 Oct 2026

online • Virtual session • Limited Availability
Nov 02 2026

02 Nov — 06 Nov 2026

online • Virtual session • Limited Availability
Nov 09 2026

09 Nov — 13 Nov 2026

online • Virtual session • Limited Availability
Nov 16 2026

16 Nov — 20 Nov 2026

online • Virtual session • Limited Availability
Nov 23 2026

23 Nov — 27 Nov 2026

online • Virtual session • Limited Availability
Nov 30 2026

30 Nov — 04 Dec 2026

online • Virtual session • Limited Availability
Dec 07 2026

07 Dec — 11 Dec 2026

online • Virtual session • Limited Availability
Dec 14 2026

14 Dec — 18 Dec 2026

online • Virtual session • Limited Availability
Dec 21 2026

21 Dec — 25 Dec 2026

online • Virtual session • Limited Availability
Dec 28 2026

28 Dec — 01 Jan 2027

online • Virtual session • Limited Availability