Learn about Fluent Analytics

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.

• 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.

Learn about the Inventory Quantity Type Breakdown Metric in Fluent Analytics

• Different transaction types reflect different inventory activities (sales reduce inventory, returns increase it, corrections adjust it)
• Type distribution changes over time based on business cycles and operational efficiency
• High correction volumes may indicate inventory accuracy issues
• Reserved quantities show demand pipeline but aren't yet fulfilled

Learn about the Total Return Orders Metric in Fluent Analytics

• Return volume affects operational costs and customer satisfaction
• Seasonal patterns are normal for many product categories
• Volume spikes may indicate specific product or process issues

Learn about the Return Reason Ratio Metric in Fluent Analytics

• Return reasons directly indicate improvement opportunities
• Customer-provided reasons may not always reflect actual issues
• Reason patterns can guide prevention strategies and process improvements

Learn about the Top 10 Returned Products Metric in Fluent Analytics

• High-return products significantly impact profitability and operations
• Product return patterns can guide improvement priorities
• May indicate misaligned customer expectations or quality issues

Learn about the Return Rate Metric in Fluent Analytics

• Return rates directly impact customer satisfaction and profitability
• Product categories and sales channels have different expected rates
• Seasonal variations are normal, especially after gift-giving periods

Learn about the Total Return Amount Metric in Fluent Analytics

• Returns directly reduce realized revenue and increase operational costs
• Seasonal returns may spike after gift-giving periods
• Product categories vary significantly in return rates and values
• Currency symbols may not be meaningful when viewing multiple retailers in different countries
• Only includes completed return orders
• Revenue timing is based on return order completion, not refund processing

Learn about the Average Return Order Items Metric in Fluent Analytics

• Multi-item returns increase processing complexity and costs
• May indicate systemic fulfillment or quality issues
• Return item patterns can guide process improvements

Learn about the Average Return Order Value Metric in Fluent Analytics

• High-value returns have disproportionate financial impact
• Return processing costs are often fixed regardless of value
• Customer service recovery is critical for high-value returns
• Currency symbols may not be meaningful when viewing multiple retailers in different countries
• Only includes completed return orders
• Revenue timing is based on return order completion, not refund processing

Learn about the Total Correction Metric in Fluent Analytics

• On hand inventory is offset by any corrections and thereby reduces the total availability to sales channels
• Product issues or location processes can result in higher correction quantities

Learn about the Total Available Metric in Fluent Analytics

• Corrections impact inventory accuracy and operational efficiency
• May indicate theft, damage, receiving errors, or system issues
• Patterns can guide improvement focus areas

Learn about the Top 10 Short Picked Products Metric in Fluent Analytics

• Short picks directly impact customer satisfaction
• May indicate demand forecasting errors or supply chain issues
• Product-specific patterns can guide targeted improvements

Learn about the Total On Hand Metric in Fluent Analytics

• Represents total investment in inventory assets
• Includes all inventory regardless of availability for sale
• Seasonal variations are normal for many businesses

Learn about the Sold Inventory Metric in Fluent Analytics

• Sold inventory represents successful conversion of investment to revenue
• Seasonal patterns are normal for many product categories
• Product-level analysis reveals specific performance patterns

Learn about the Inventory Coverage Days Metric in Fluent Analytics

• Coverage assumes current sales velocity continues
• Seasonal and promotional events can dramatically change velocity
• Lead times must be considered in coverage planning

Learn about the Sell Through Rate Metric in Fluent Analytics

• Sell-through rates vary significantly by product lifecycle stage
• Seasonal products may show periodic high and low rates
• New products typically start with lower rates

Learn about the SKU Velocity Metric in Fluent Analytics

• High-velocity items require frequent replenishment and prime locations
• Low-velocity items may need promotional support or discontinuation
• Seasonal products show expected velocity variations

Learn about the Top 10 Reserved Products Metric in Fluent Analytics

• High reservations may indicate strong demand or allocation inefficiencies
• Reserved inventory is not available for new orders
• Reservation patterns can guide capacity planning

Learn about the Top 10 Purchased Products Metric in Fluent Analytics

• Purchase frequency differs from sales volume (many small vs. few large orders)
• Frequently purchased items often drive customer loyalty
• May indicate essential or consumable product characteristics

Learn about the Fill Rate Metric in Fluent Analytics

• High fill rates improve customer satisfaction and reduce operational complexity
• May vary seasonally based on demand patterns and inventory cycles
• Product-level analysis can identify specific improvement opportunities

Learn about the Top 10 Products Fulfilled Metric in Fluent Analytics

• High-volume products require optimized inventory and fulfillment processes
• Seasonal variations are normal for many product categories
• Product mix highlights fulfilment trends

Learn about the Item Rejection Rate Metric in Fluent Analytics

• High rejection rates directly impact customer satisfaction and delivery times
• May indicate overselling or poor inventory management
• Location-specific patterns can reveal operational inefficiencies

Learn about the Total Partially Fulfilled Fulfillments Metric in Fluent Analytics

• Partial fulfillments may require additional shipments and costs
• Customer satisfaction impact varies by item importance and communication
• May indicate overselling or inventory accuracy issues

Learn about the Total Failed Fulfillments Metric in Fluent Analytics

• Failed fulfillments require manual intervention and delay delivery
• May indicate inventory accuracy, system, or training issues
• Different failure types require different corrective actions

Learn about the Total Escalated Fulfillments Metric in Fluent Analytics

• Escalated fulfillments increase operational costs and processing time
• May indicate inadequate automation or complex customer requirements
• Patterns can guide automation improvement priorities

Learn about the Total Expired Fulfillments Metric in Fluent Analytics

• Expired fulfillments often result in customer disappointment
• May trigger automatic reassignment to other locations
• Can indicate unrealistic SLA expectations or operational constraints

Learn about the Total Successful Fulfillments Metric in Fluent Analytics

• Distinguishes between completed and successful fulfillments
• Success criteria may include accuracy, timing, and quality measures
• Location-specific success patterns can guide improvement efforts

Learn about the Fulfillments by Location Metric in Fluent Analytics

• Location performance may be influenced by local factors
• Geographic distribution affects delivery times and costsCapacity constraints may require load balancing

Learn about the Average Fulfillment Time Metric in Fluent Analytics

• Faster fulfillment generally improves customer satisfaction
• Speed must be balanced with accuracy and cost considerations
• Peak periods may temporarily extend fulfillment times

Learn about the Total Completed Fulfillments Metric in Fluent Analytics

• Completed fulfillments represent successful customer deliveries
• Seasonal peaks may require temporary capacity adjustments
• Location performance varies based on local factors

Learn about the Orders by Order Type Metric in Fluent Analytics

• Different order types may have different profitability profiles
• Channel growth should align with strategic priorities
• Some order types may require different operational capabilities

Learn about the Average Orders by Hour of Day Metric in Fluent Analytics

• Time zone differences affect interpretation for multi-region retailers
• Seasonal and promotional events can significantly alter normal patterns
• Weekday vs. weekend patterns typically differ substantially

Learn about the Average Order Items Metric in Fluent Analytics

• Higher items per order generally improve profitability through shared shipping costs
• May be influenced by promotional strategies and seasonal buying patterns
• Bundle deals and sets can artificially inflate this metric

Learn about the Average Order Value Metric in Fluent Analytics

• Currency differences may affect multi-region comparisons
• Seasonal variations are normal for many retail categories
• Promotions and discounts will temporarily reduce AOV

Learn about the Cancellation Rate Metric in Fluent Analytics

• Customer-initiated cancellations may indicate product or delivery issues
• System-initiated cancellations - may indicate operational problems
• High cancellation rates reduce effective revenue and increase operational cost

Learn about the Total Orders Metric in Fluent Analytics

• Includes all orders regardless of status (completed, cancelled, rejected)
• Count is based on order creation time, not completion time
• Multi-item orders count as one order
• Order Type can be filtered to count specific order types (e.g., HD, CC, etc.) if needed.

Learn about the Total Revenue Metric in Fluent Analytics

• Currency symbols may not be meaningful when viewing multiple retailers in different countries
• Only includes completed orders (excludes pending, cancelled, or rejected orders)
• Revenue timing is based on order completion, not payment processing

Learn about the Top 10 Returned Products Metric in Fluent Analytics

• High-return products tie up inventory and increase operational costs
• Return patterns may indicate broader product line or supplier issues
• Seasonal products may show expected return spikes after gift-giving periods
• Return reasons should be analyzed alongside volume data

Learn about the Rejection Rate Metric in Fluent Analytics

• High rejection rates directly impact customer satisfaction and delivery times
• May indicate overselling or poor inventory management
• Location-specific patterns can reveal operational inefficiencies