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Fluent Metrics Library Overview

Essential knowledge

Author:

Movyn John

Changed on:

16 Sept 2025

Overview

The Fluent Metrics Library is a collection of metrics and dashboards available to Fluent customers. Delivered through the Fluent Analytics feature, it gives retailers real-time visibility into order, fulfillment, returns, and inventory operations to enable faster, smarter decisions.

Designed for retail operations managers, inventory analysts, business intelligence, and many other teams who need visibility across retail operations.

Key points

  • Operational clarity - get a clear view of what's working and what needs attention across your network.
  • Proactive issue management - quickly detect spikes in cancellations, rejections, or delays.
  • Continuous optimization - track key metrics across locations, channels and fulfillment types to drive improvements.
  • Data-driven decisions - support trade planning, performance reviews and customer experiences with real-time data.

The Fluent Metrics Library will be available via the Fluent Analytics feature. The metrics are organized by the domains of Order, Fulfillment, Inventory, and Returns.

Each dashboard has filters available to further drill down on the metrics.

Each metric below describes the calculation logic and reference statuses initially configured. These statuses are configurable within each metric's component in the relevant manifest document setting.

Order Dashboard

Purpose: Monitor overall order performance and identify trends in order volume, value, and processing issues.

Key Benefits:

  • Operational clarity - get a clear view of what's working and what needs attention across your network
  • Proactive issue management - detect spikes in cancellations, rejections, or delays
  • Continuous optimization - track key metrics across locations, channels and fulfillment types to drive improvements
  • Data-driven decisions - support trade planning, performance reviews and customer experiences with real-time data

When to use this dashboard: Check this dashboard for daily order performance monitoring, identifying order processing issues, or analyzing sales trends across channels.

Available Filters:

  • Date
  • Retailer
  • Order Type
No alt provided

Metric

What it measures

Total Revenue

Total value of all orders

Total Orders

Number of orders received

Rejection Rate

Percentage of fulfillments rejected by locations

Cancellation Rate

Percentage of orders cancelled

Average Order Value

Revenue divided by number of orders

Average Order Items

Items per order

Average Orders by Hour of Day

Average number of orders received during each hour of the day

Orders by Order Type

Breakdown by channel or order category

What to look for:

  • Rising rejection or cancellation rates indicate operational issues
  • Declining average order value may signal pricing or product mix problems
  • Order volume patterns help with capacity planning

Fulfillment Dashboard

Purpose: Monitor and optimize fulfillment operations from order assignment through completion.

Key Benefits:

  • Fulfillment visibility - track progress of orders through each fulfillment stage
  • Bottleneck identification - quickly spot where fulfillments are getting stuck or delayed
  • Performance optimization - measure fulfillment speed and success rates across locations
  • Resource planning - understand fulfillment capacity and demand patterns

When to use this dashboard: Check this dashboard to monitor daily fulfillment operations, investigate delivery delays, or assess location performance.

Available Filters:

  • Date
  • Retailer
  • Location
  • Product
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Metric

What it measures

Total Completed Fulfillments

Number of fulfillments successfully completed

Total Expired Fulfillments

Number of fulfillments that timed out before completion

Total Successful Fulfillments

Number of fulfillments completed without issues

Total Failed Fulfillments

Number of fulfillments that failed during processing

Total Escalated Fulfillments

Number of fulfillments requiring manual intervention

Total Partially Completed Fulfillments

Number of fulfillments completed with some items missing (short pick)

Completed Average Fulfillment Time

Average time from fulfillment assignment to completion

Item Rejection Rate

Percentage of item quantities rejected across locations

Fill Rate

Percentage of order items successfully fulfilled

Fulfillments By Location

Number of fulfillments completed at each location

Top 10 Products Fulfilled

Most frequently fulfilled products by volume

What to look for:

  • High rejection rates may indicate inventory accuracy issues
  • Long fulfillment times could signal operational bottlenecks
  • Low fill rates suggest stock availability problems

Inventory Dashboard

Purpose: Monitor inventory levels, movement, and performance across all locations and products.

Key Benefits:

  • Stock visibility - real-time view of inventory levels and availability across locations
  • Demand forecasting - track product velocity and sales patterns for better planning
  • Inventory optimization - identify slow-moving stock and optimize inventory investment
  • Operational efficiency - monitor inventory corrections and accuracy metrics

When to use this dashboard: Check this dashboard for inventory planning, investigating stock-outs, managing slow-moving inventory, or analyzing product performance.

Available Filters:

  • Date
  • Retailer
  • Location
  • Product
  • Inventory Catalog
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Metric

What it measures

Total On Hand

Total physical inventory currently available across all locations

Total Available

Inventory available for sale (excluding reserved, damaged, or allocated stock)

Total Correction

Total inventory adjustments made to correct discrepancies between system and physical counts

Sold Inventory

Total inventory units sold during the selected time period

SKU Velocity / SKU Velocity (list view)

Rate at which individual products are selling over time

Inventory Coverage Days

Number of days current inventory will last at current sales velocity

Sell Through Rate

Percentage of inventory sold during a specific time period

Inventory Quantity Status Breakdown

Breakdown of total inventory by categories (last on hand, reserved, sale, etc.)

Top 10 Reserved Products

Products with the highest levels of reserved inventory

Top 10 Frequently Purchased Products

Products purchased most often by customers (by transaction frequency)

Top 10 Short Picked Products

Products most frequently short-picked due to insufficient inventory or product issues (e.g. damaged)

What to look for:

  • Low coverage days indicate potential stock-outs
  • High correction volumes suggest inventory accuracy issues
  • Slow SKU velocity identifies a potential opportunity to optimise the order sourcing logic

Return Dashboard

Purpose: Track and analyze return patterns to improve products and reduce return rates.

Key Benefits:

  • Return visibility - monitor return volumes, values, and processing status
  • Quality insights - identify products with high return rates and common return reasons
  • Financial impact - track the cost of returns on overall profitability
  • Process optimization - improve return processing efficiency and customer experience

When to use this dashboard: Check this dashboard to monitor return trends, investigate product quality issues, or optimize return processing operations.

Available Filters:

  • Date
  • Retailer
  • Location
  • Return Status
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Metric

What it measures

Average Return Order Value

Average dollar value per return order

Average Return Order Items

Average number of items per return order

Total Return Amount

Total dollar value of all returned products

Total Return Orders

Number of return requests received

Return Rate

Percentage of orders that result in returns

Top Returned Products Metric

Products with the highest return volumes for the selected time period

Return Reason Ratio

Breakdown of why customers return products

What to look for:

  • Rising return rates may indicate product quality or description issues
  • High-value returns significantly impact profitability
  • Return reason patterns reveal opportunities for product or process improvements