Planning Optimisation Manager - Hubs, Depot & Events

At Evri we understand that searching for your first job, your next job, or that big promotion is a huge milestone. Here at Evri we always think about what it's like to be in your position when making those big decisions. It takes courage to make change happen in your life, and we're here to help you with that.

We're here for the first step, the next step, and the big step .

You're not just a number to us. You've got to know you'll love working here. It's as important to us as you ‘being the right fit'. We want to help you feel what it's like to work at Evri, to see the value you can bring to any of our roles, and how we can help you grow. We're never one-size-fits-all. Our careers are as unique as you are.

Evri is leading the way in creating responsible delivery experiences for everyone, everywhere, and that's how we approach our talent development. We're a kind, ambitious and diverse team, always supporting and encouraging each other. Our people are extremely important to our business, without them we wouldn't be where we are today, striving to do the best for our customers and clients. If you like what you hear, then we'd love you to apply!

We are recruiting for a Planning Optimisation Manager to manage the optimisation of volume, transport, and event planning functions. You will collaborate with various teams to enhance accuracy using data analytics and machine learning. Continuous improvement is driven by KPI analysis, post-mortem reviews, and AI tools, with close stakeholder collaboration to align strategies and communicate progress.

You will be accountable for:

Volume Forecasting Optimisation:

• Develop and implement forecasting models to predict parcel volumes based on historical data, market trends, and seasonal fluctuations for hubs, depots, and events.

• Collaborate with domestic & international commercial and operations to gather insights on expected shipment volumes, customer demand patterns, and event-related needs.

• Monitor forecasting accuracy and adjust models regularly to reflect changes in the market and operational realities.

• Prepare and present regular volume forecasts to leadership and operations teams for planning purposes.

• Identify potential capacity challenges or opportunities based on forecasted volumes and event schedules and recommend appropriate actions.

• Use data analytics and machine learning tools to enhance the accuracy of forecasts.

Transport Planning Optimisation:

• Develop dynamic and scalable transport plans to align capacity with forecasted volumes and event needs, ensuring maximum vehicle utilisation and cost efficiency.

• Utilise route optimisation tools to design the most efficient delivery routes, reducing mileage, fuel consumption, and delivery times for both regular operations and event-specific logistics.

• Manage fleet schedules and driver rosters to balance capacity, meet customer delivery windows, and minimise overtime.

• Oversee real-time tracking and adjustments to transport plans based on daily fluctuations in parcel volumes.

• Work closely with hub & depot teams to ensure that transport plans integrate seamlessly with inbound/outbound processes and last-mile delivery operations.

• Identify opportunities for operational efficiencies, such as load consolidation, reducing empty runs, and enhancing vehicle utilisation.

Data Analysis and Continuous Improvement:

• Analyse key performance indicators (KPIs) such as vehicle utilisation, forecast accuracy, and cost per unit, and use these metrics to drive continuous improvement.

• Conduct post-mortem analyses of forecasting accuracy and transport plans, identifying trends, bottlenecks, and areas for improvement.

• Implement innovative solutions and tools such as AI-driven planning systems, demand-sensing algorithms, and predictive analytics to enhance volume forecasting and transport optimisation processes.

• Stay up to date on emerging technologies and best practices in forecasting, logistics planning, and parcel delivery.

Collaboration and Stakeholder Management:

• Work closely with internal teams (e.g., operations, commercial, IT, finance, event management) to ensure alignment between volume forecasts, event schedules, budget planning, and transport operations.

• Communicate effectively with senior leadership to provide updates on forecasting accuracy, operational efficiencies, cost savings initiatives, and event planning status.

To be successful in this role you will have knowledge of transport planning and optimisation techniques, including route optimisation, fleet management, and load balancing. You will have an analytical mindset with the ability to translate data into actionable insights and operational improvements. You will have experience in volume forecasting, transport planning, or logistics management, preferably in the parcel or courier industry.

Qualifications & Technical skills

• Degree in Supply Chain Management, Logistics, Data Analytics, Operations, or a related field.
• Strong proficiency in forecasting and data analysis tools, such as Excel, SQL, R, Python, and experience with logistics software (WMS, TMS, or route optimisation tools).
• Demonstrated ability to use predictive analytics and forecasting models to drive business decisions.

We encourage flexible working to fit your individual needs, as well as the team's - that could be from the office, from home or a mixture of both,

We also offer excellent benefits such as £6K car allowance, up to 30% annual bonus, great pension, a range of retailer discounts from our clients and much more.

At Evri, we know we only grow if our people do too. That's why we're committed to building a truly inclusive and diverse workplace where everyone can bring – and be – their whole authentic selves. We're on a journey to better represent the customers we serve around the UK. We're committed to removing barriers and ensure that each person at Evri is valued for who they are, and what they bring to our business.

We are Evri. Where everyone is welcome

We're excited for the future. Let's deliver it together.

ADZN1_UKTJ