Beverages

Designing resilient distribution scenarios for future market shifts

Logio supported Plzensky Prazdroj in evaluating multiple distribution strategy scenarios based on a detailed model of the current network and its performance.

Outcome

Each scenario was backed by a feasibility study and quantified impact on key KPIs, which helped the brewery choose a strategy that improves speed to market, strengthens competitiveness and manages logistics costs that are influenced by distribution decisions by up to 80 percent.

Up to

0 % of logistics costs addressed through the chosen distribution strategy

About Plzeňský Prazdroj

Plzensky Prazdroj is a leading Czech brewery, producer of the original pilsner type beer Pilsner Urquell, headquartered in Plzen and owned by Asahi Group Holdings. It is the largest exporter of Czech beer, selling a broad portfolio of more than 50 beers and beverages from multiple brands to markets around the world.

Around 9 million hectolitres of beer produced at its breweries in 2019

Exports to nearly 50 countries worldwide

Approximate annual revenues of CZK 23 billion driven by domestic sales and growing export demand

Initial challenge

Plzensky Prazdroj needed to design several future distribution strategy scenarios that would reflect potential market changes and their impact on the supply chain. The company required a structured way to understand how different distribution set ups would affect service levels, competitiveness and logistics costs.

Project goal

The goal was to build a detailed model of the current distribution network and use it to evaluate multiple alternative scenarios, each with a clear feasibility assessment and quantified impact on key KPIs. This would help management choose a distribution strategy that speeds execution, maintains competitiveness and optimizes a logistics cost base where up to 80 percent of costs are influenced by distribution decisions.

Solution

Scenario modeling for smarter distribution strategy

Logio created a model of the existing distribution network of Plzensky Prazdroj and used it as a decision making engine to test and compare different future distribution strategies. For each scenario, Logio assessed feasibility and quantified the expected impact on key performance indicators.

01

Model of the current state

Logio built a detailed model of the existing distribution network, including current flows, service levels and logistics costs.

02

Design of alternative distribution scenarios

Based on expected market changes, several scenarios of how the distribution network could be restructured were designed and parameterised in the model.

03

Feasibility assessment for each scenario

For every scenario, Logio prepared a feasibility study describing practical implementation aspects, required changes and potential risks.

04

KPI impact evaluation

The impact of each scenario on key KPIs such as logistics costs, speed of execution and competitiveness was evaluated, showing where up to 80 percent of logistics costs could be influenced by distribution decisions.

05

Support for decision making

The scenarios and their quantified impacts were presented in a comparable format to support management in selecting the most suitable distribution strategy.

Solutions implemented

Automated & Efficient Warehousing

Intralogistics & Material Flow

Process Mapping & Analysis

Impact

Fact based distribution strategy that manages most of the logistics cost base and reduces the risk of expensive mistakes.

Clear portfolio of scenarios

Management gained a structured set of distribution scenarios, each defined and modelled on the same factual basis, which made strategic choices transparent.

KPI driven scenario comparison

Each scenario included quantified impact on key performance indicators, which moved the discussion from intuition to measurable effects.

Up to 80 percent of logistics costs addressed

The work highlighted how distribution strategy influences up to 80 percent of logistics costs and showed where changes in the network could generate the largest effect.

Prepared for market shifts

Thanks to predefined and analysed scenarios, Plzensky Prazdroj is better prepared to react to future market developments without ad hoc decisions.

Lower risk of costly decisions

By testing scenarios in a model instead of in real operations, the company reduced the risk of distribution decisions that could lead to multimillion crown losses.

Ready to rethink your distribution strategy

If you are deciding between several distribution network options, we can help you turn them into clear scenarios with feasibility and KPI impact quantified. Let us talk about how data driven scenario modelling can reduce your logistics costs and protect you from costly strategic mistakes.

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