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GoGreenPresentationBruner.pdf

Strategy

Guide:

Implementing

the GoGreen

Delivery

Initiative Gianne Karla V. Bruner

American Military University

MGMT 619 – Leading Organizational

Change

Dr. George Taylor

• GoGreen Delivery is a

fresh, organic food delivery

service that sources

products from local farms

and artisans and directly

delivers the freshest and

highest quality foods to

customer’s doorsteps. Our

company is committed to

partnering and supporting

our local farmers, creating

a sustainable agriculture

while building community

connections!

• To elevate our commitment

to sustainability and reduce

our environmental footprint,

GoGreen will soon transition

to a Zero-Emission Vehicle

(ZEV) fleet.

What: GoGreen Delivery

What: GoGreen Delivery

WHY: Sustainable Logistics

Fleet Telematics enhanced with AI technology to

maximize fleet efficiency

Increased employee satisfaction – smoother and quieter vehicles to operate

Lower fleet operating costs which means we maintain our

low prices!

ECO FRIENDLY. Doing our part to reduce emissions

GoGreen

Delivery

GoGreen

Delivery

How: Action Plan

Strategic Foundations and Leadership Alignment

Develop and Launch a Phased Employee Training Program

Open dialogue and Interaction to Overcome Resistance

Create a "Tiger Team" of Internal Champions

Pilot Program and Continuous Improvement Process

Celebrate Achievements and Reinforce Positive Behavior

Sustain Engagement through Support and Communication

Strategic Foundations and

Leadership Alignment

The initial move towards developing

GoGreen Delivery is to make sure

the leadership is aligned and that

there is a governance structure.

a. Assemble the Change

Steering Committee that

will establish and drive

the roadmap to the

initiative’s success.

b. Establish milestones,

budgets, coordinate tasks

across cross-functional

teams/departments

c. State purpose of the

initiative, goals and set

anticipated results

Develop

and

Launch a

Phased

Employee

Training

Program

The training roadmap is phased to ensure

employee confidence and competence

1. Introduction Training: A practical

overview of the ZEV- safety, the work

of the range, the requirements of the

charge, and emergency procedures.

2. Technical Trainings on AI-based

telematics: Battery health, route

optimization, predictive maintenance

control, as well as using a dashboard.

3. Never-ending Learning: Refreshers, e-

learning, and new analytics tools as

they become available.

The stages will be a combination of theory

and practice (think live vehicle labs,

simulations, job aids). It is also an

excellent method of overcoming the fear and

resistance many teams experience (another

frequent challenge in fleet electrification)

(Kaushik, 2025).

AI-powered fleet analytics will allow to see

the behavior of drivers and the kind of

maintenance they require, which will

complete the learning loop with feedback

(Roy, 2025).

Open dialogue

and Interaction

to Overcome

Resistance

• Internal Campaigns to explain

why the change is required and

how employees will be affected

• Open access to information to

keep employees informed

• Kick off Townhalls,

Frequently asked

questions, Infographics,

Newsletters, Digital

Dashboards, etc.

• Quick, efficient and

recurring feedback is

essential

Such continuous communication

creates psychological possession

and relieves the fear of the

unknown (Wheels, 2024).

Create a "Tiger Team"

of Internal Champions

Grassroots push begins with the

selection of internal champions.

•The tiger team should comprise of

trusted drivers, fleet managers,

staff of early adopters in operations

•They operate the vehicles, respond to

inquiries and serve as positive

examples and share successes with the

company.

•They meet frequently with the

steering committee to incorporate

field insights into strategy.

Pilot Program and

Continuous

Improvement

Process Make piloting a vital component by testing on a small fleet basis under actual conditions before a full rollout.

• Measure key performance indicators (KPIs), including battery consumption, maintenance or charging downtimes, efficiency of routes, energy consumption of charging infrastructure

• Utilize predictive analytics from the telemetry system to indicate anomalies, predict maintenance needs (Roy, 2025)

• Gather information during the pilot phase.

• Scale and fine-tune training, communication, adoption of technology and gradually scale up based on pilot results.

Celebrate

Achievements and

Reinforce Positive

Behavior Recognition is a key factor in maintaining momentum.

• Mark milestones such as first week of successful ZEV deliveries, reduction of emissions and outstanding driver stories

• Publicize achievements through newsletters, dashboards and award ceremonies

• Share positive behaviors to validate the organization’s sustainability and innovation efforts, and boost morale during the transition

Sustain Engagement through

Support and Communication

After rollout, create a special team responsible for addressing technical problems, providing ongoing training, collecting and acting on feedback

Ensure continuity of operations and maintain high staff morale.

Involve stakeholders through sustainability reports, internal metrics dashboards, external outreach highlighting the company’s leadership in green logistics

Utilize AI-based telematics systems for state-of-charge monitoring, route analytics, charging station information, continuous feedback to optimize operations (7Gen, 2025)

Leverage generative AI over time to enhance operational oversight, highlight important trends

Support managerial decision-making by answering questions such as:

“Which vehicles are due for service?”

“Which routes drain battery fastest?”

The GoGreen Delivery Initiative aims to transition the company’s fleet to Zero- Emission Vehicles (ZEVs) using AI- enhanced telematics. The strategy involves aligning leadership, creating a strong governance structure, and developing targeted employee training. Change champions (Tiger Team) and open communication help drive buy-in and reduce resistance. A pilot program is used to test and refine the rollout, while recognition of achievements and continuous feedback support engagement. AI systems optimize operations and inform decision-making, ensuring long-term sustainability and operational excellence.

GoGreen Delivery GoGreen Delivery

Conclusi

on

Referenc

es

• 7Gen. (2025). Telematics for EV Fleets in 2025:

Smarter Data, Better Decisions. 7Gen. Retrieved

from https://7gen.com/blog/telematics-for-ev-

fleets-in-2025-smarter-data-better-decisions/

• Kaushik, S. (2025). Transforming Fleet

Operations with Artificial Intelligence: A

Strategic and Practical Perspective. Journal of

Engineering and Applied Sciences Technology.

https://www.onlinescientificresearch.com/article

s/transforming-fleet-operations-with-artificial-

intelligence-a-strategic-and-practical-

perspective.pdf

• Roy, P. (2025). AI-Driven Fleet Analytics:

Revolutionizing Modern Fleet Management.

International Research Journal of Modernization

in Engineering, Technology, and Science.

https://www.researchgate.net/publication/3901944

24_AI-

DRIVEN_FLEET_ANALYTICS_REVOLUTIONIZING_MODERN_FL

EET_MANAGEMENT

• Wheels. (2024, August 28). EV Transition Tips:

Achieving Fleet Electrification. Retrieved from

https://www.wheels.com/public/resource-

hub/blog/from-challenges-to-success-in-fleet-

electrification-tips-on-ev-transition/

  • Slide 1: Strategy Guide: Implementing the GoGreen Delivery Initiative
  • Slide 2
  • Slide 3: WHY: Sustainable Logistics
  • Slide 4: How: Action Plan
  • Slide 5: Strategic Foundations and Leadership Alignment
  • Slide 6: Develop and Launch a Phased Employee Training Program
  • Slide 7: Open dialogue and Interaction to Overcome Resistance
  • Slide 8: Create a "Tiger Team" of Internal Champions
  • Slide 9: Pilot Program and Continuous Improvement Process
  • Slide 10: Celebrate Achievements and Reinforce Positive Behavior
  • Slide 11: Sustain Engagement through Support and Communication
  • Slide 12: Conclusion
  • Slide 13: References