anyLogistix 3.4.2 with a new Cost to serve experiment

anyLogistix 3.4.2 is here. This release introduces the new Cost to serve experiment, enabling end-to-end cost transparency across products, customers, and delivery routes. The update provides deeper insight into real supply chain economics. Let’s take a closer look at how to run the Cost to serve experiment in anyLogistix and analyze the results.

Contents:

1. Achieving end-to-end cost transparency
2. Running the Cost to serve experiment
3. Interpreting results
• Granular Cost to serve table
• Cost to serve by product
• Cost to serve by destination
• Aggregated values table
4. Download anyLogistix 3.4.2

ACHIEVING END-TO-END COST TRANSPARENCY

Many supply chain decisions fail not because optimization is wrong, but because cost visibility is too aggregated. Industry studies show that a detailed cost to serve analysis uncovers issues that remain invisible at the total network level.

Why does it matter? 20–30% of customers are often unprofitable, even in networks that appear cost-efficient overall. These losses are typically driven by customer-specific factors such as order patterns, delivery locations, service requirements, or routing complexity.

The Cost to serve experiment makes these customers and cost-efficiency problems visible. Calculating the full delivery cost per product and per customer highlights where expenses accumulate silently. This approach helps unlock the hidden potential of already profitable supply chains and finds the real issues behind inefficient networks.

RUNNING THE COST TO SERVE EXPERIMENT

The new Cost to serve experiment can be found in the Network optimization section of the software. It evaluates one period, as defined by the Experiment duration parameter. anyLogistix provides two options to run this experiment:

• Network optimization + Cost to serve mode. Based on the data provided, the software will first run the Network optimization experiment. Then, its outputs will be used for the Cost to serve analysis. This mode is especially useful for new projects, as it gives the possibility to run both experiments with a single click.
• Cost to serve only mode. Choose a preferred result from the Network optimization and instruct the software to run the Cost to serve analysis based on it. This option is best for active users who already have implemented projects in anyLogistix. With results from the Network optimization experiment, the analysis can be extended with the Cost to serve experiment.

Cost to serve experiment settings and mode options (click to enlarge)

INTERPRETING RESULTS OF THE EXPERIMENT

After running the experiment, view the outcomes in the Cost to serve results dashboard. anyLogistix provides many options for exploring results.

Granular Cost to serve results table

The most detailed view is the main Cost to serve table, designed to provide full transparency into how delivery costs are formed for each product-customer route.

These statistics connect physical flows, operational costs, and financial outcomes in a single structure. Explore specific product journeys in detail, broken down into individual legs. Find out the distance between every stop on a route (every leg) and the associated costs, which are categorized into the following groups:

• Transportation
• Processing
• Supply and/or Production
• Other

Explore costs across all legs and, of course, total costs for each product-customer route. The detailed table also presents total revenue and profit, as well as profit or loss per product item. As always, users can group the data in the table in the most suitable way.

Cost to serve results table (click to enlarge)

A light version of the results table is provided to focus on the most important information and get an overall picture of the Cost to serve analysis.

Сost to serve by product table

To explore the Cost to serve analysis from the delivered product perspective, open the Cost to serve by product view. It aggregates delivery costs and financial results at the product level. This helps to identify which assets generate value and which create hidden cost pressure. This perspective is especially useful for product portfolio analysis and making informed pricing decisions.

Cost to serve by product results table (click to enlarge)

Сost to serve by destination table

Another way to view the results of this experiment is through the Cost to serve by destination table. It shows delivery costs aggregated by customer, providing a clear view of the true cost to serve each client from the product source to the destination.

Cost to serve by destination results table (click to enlarge)

Aggregated values table

This table brings together all standard cost components used in the Network Optimization experiment, complemented by revenue metrics, providing a clear summary of overall financial performance.

By aggregating these values into a single view, it becomes easier to assess the economic outcome of the scenario, compare iterations, and understand how individual cost drivers contribute to total results over the analyzed period.

Aggregated values table (click to enlarge)

DOWNLOAD ANYLOGISTIX 3.4.2

With the Cost to serve experiment, supply chain optimization goes beyond minimizing total cost, revealing true profitability by product and customer and turning network design into a business-driven decision process.

Get the latest version of anyLogistix and explore this new experiment in practice. A new Cost to serve example is also available in the anyLogistix software library to help get started quickly. And check out the release notes for more technical information.