Overview

The Rate Shop Selections dashboard provides comprehensive visibility into Shipium's carrier selection and shipment cost performance across multiple dimensions. This dashboard tracks key operational metrics including shipment volume, cost per package trends, carrier performance, service level distribution, and geographic shipping patterns. Users can analyze whether Shipium's AI-driven carrier selection or customer-specified carriers are being utilized, compare costs across national versus regional carriers, understand service method performance, and monitor billable weight trends to optimize shipping operations and reduce costs.

Filters

Filter Name	Filter Description
Effective Ship Date	A range of time must be selected for the effective ship date of shipments (e.g., when each was expected to be handed off to a carrier). Defaults to the range 6 weeks ago to now.
Carrier	One or more carriers can be selected to show the metrics on the dashboard for only those carriers. Defaults to all carriers.
Carrier Method	One or more carrier methods can be selected to show the metrics on the dashboard for only those carrier methods. Defaults to all carrier methods.
Fulfillment Name	One or more fulfillment names (fulfillment contexts) can be selected to show the metrics on the dashboard for only those fulfillment names. Defaults to all fulfillment names.
Tenant Name	One or more tenant names can be selected to show the metrics on the dashboard for only those tenant names. Defaults to all tenant names.
Timezone	A timezone for reporting must be selected for use when doing time calculations (such as the effective ship date). Defaults to your organization's default timezone for reporting.

Sections and metrics

Top Level Metrics

This section provides high-level KPIs and trends that summarize overall shipment volume, costs, and carrier selection patterns.

Rate Shop Volume

For the set of filters that have been selected, this metric displays the total count of shipments processed during the selected time period. This represents the aggregate number of individual shipments across all carriers, service methods, origins, and destinations.

Average Cost Per Package

For the set of filters that have been selected, this metric shows the mean shipping cost per package, calculated by dividing the total cost (including base rates and all surcharges) by the total shipment count. Users should interpret this as the average expense per shipment, which helps benchmark shipping efficiency and identify cost optimization opportunities.

Rate Selection Type Mix

For the set of filters that have been selected, this metric breaks down shipment volume by whether carriers were selected by Shipium's rate shop engine or were customer-specified. The pie chart displays the percentage split between "Shipium Selected" (where Shipium's algorithm chose the carrier) and "Customer Selected" (where the shipper provided an allowed carrier list in their request), enabling users to understand the degree of carrier selection automation.

Volume & CPP Over Time

For the set of filters that have been selected, this metric shows weekly trends of both total shipment count (displayed as bars) and average cost per package (displayed as a line on the secondary axis). Users should interpret this dual-axis chart to understand how shipping volume and costs correlate or diverge over time, helping identify seasonal patterns or cost anomalies.

Volume by Origin

For the set of filters that have been selected, this metric displays the distribution of shipment volume across fulfillment centers. The pie chart shows what percentage of shipments originated from each fulfillment location, helping users understand facility utilization and geographic distribution of shipping activity.

Volume by Carriers - Top 5

For the set of filters that have been selected, this metric shows the five carriers with the highest shipment counts. The pie chart displays the relative market share of top carriers used, allowing users to quickly identify primary carrier partnerships and concentration risk.

Carrier Metrics

This section analyzes performance and utilization patterns across different shipping carriers.

Total Cost per Package

For the set of filters that have been selected, this metric displays the weekly trend of average cost per package as an area chart. Users should interpret this as the time-series view of shipping costs, helping identify cost trends, seasonal patterns, or the impact of pricing changes over the selected period.

Volume by Carrier Over Time

For the set of filters that have been selected, this metric shows weekly shipment volume broken down by carrier in a stacked column chart. Each color represents a different carrier, and the stacked bars show how carrier mix changes week over week, enabling users to track carrier utilization shifts and diversification strategies.

Total Cost per Package by Carrier

For the set of filters that have been selected, this metric displays weekly average cost per package stacked by carrier. Each carrier's contribution to the total average CPP is shown in the stacked column chart, allowing users to compare carrier pricing trends over time and identify which carriers drive overall cost changes.

Carrier Service Metrics

This section provides detailed visibility into specific carrier service methods and their performance characteristics.

Volume by Service Method Over Time

For the set of filters that have been selected, this metric shows weekly shipment volume broken down by specific carrier service methods (e.g., "FedEx Ground®", "UPS Next Day Air") in a stacked column chart. Users should interpret this to understand service method mix evolution and identify trends in expedited versus standard shipping usage.

Volume by Service Method - Top 5

For the set of filters that have been selected, this metric displays the five most-used carrier service methods by shipment count. The pie chart shows the relative distribution of volume across specific service offerings, helping users understand which exact service methods dominate their shipping operations.

CPP by Service Level Over Time

For the set of filters that have been selected, this metric shows weekly average cost per package trends separated by service level category (Returns, Standard, International, Express). Each category is displayed as a separate line, enabling users to compare cost trends across different shipping categories and understand category-specific pricing dynamics.

Volume by Service Level

For the set of filters that have been selected, this metric displays the distribution of shipment volume between Expedited and Standard service levels. The pie chart shows what percentage of shipments use faster expedited services versus standard delivery, calculated by grouping Express service level category as "Expedited" and all others as "Standard".

Cost per Package by Service Level

For the set of filters that have been selected, this metric shows weekly average cost per package trends comparing Expedited versus Standard service levels. The two-line chart displays how costs differ between expedited and standard shipments over time, helping users quantify the premium paid for faster delivery services.

National v. Regional Carrier Metrics

This section compares performance between national carriers (UPS, FedEx, USPS) and regional carriers by operational scope.

Volume by Carrier Type

For the set of filters that have been selected, this metric displays the distribution of shipment volume across carrier types: national, regional, and international. The pie chart shows what percentage of shipments are handled by each carrier type category, helping users understand their carrier portfolio composition.

Cost per Package by Carrier Type

For the set of filters that have been selected, this metric shows weekly average cost per package trends separated by carrier type (national, regional, international). Each carrier type is displayed as a separate line, enabling users to compare cost efficiency across different carrier categories and evaluate regional carrier cost advantages.

Billable Weight Metrics

This section tracks shipment weight characteristics that directly impact carrier pricing.

Average Billable Weight Over Time

For the set of filters that have been selected, this metric displays the weekly trend of average billable weight in pounds per shipment. The area chart shows how the weight characteristics of shipments change over time, calculated by dividing total billable weight by shipment count, helping users identify shifts in product mix or dimensional weight impacts.

Billable Weight by Carrier

For the set of filters that have been selected, this metric shows the total billable weight in pounds handled by each carrier. The column chart displays which carriers handle the most weight volume, enabling users to understand carrier capacity utilization and negotiate volume-based pricing based on actual weight shipped.

Origin Metrics

This section provides geographic analysis of shipment origins and destinations to understand shipping lane characteristics.

CPP by Origin Over Time

For the set of filters that have been selected, this metric shows weekly average cost per package trends separated by fulfillment center. Each origin location is displayed as a separate line, enabling users to compare cost performance across different fulfillment centers and identify facility-specific cost advantages or challenges.

Volume by Origin State

For the set of filters that have been selected, this metric displays shipment volume geographically across US states where shipments originated. The geo area map uses color intensity to show which states have the highest outbound shipment volumes, helping users visualize their distribution network footprint.

Volume by Destination State

For the set of filters that have been selected, this metric displays shipment volume geographically across US states where shipments were delivered. The geo area map uses color intensity to show which destination states receive the most shipments, helping users understand customer concentration and optimize fulfillment strategies based on delivery zones.