Analytics & Reports

Filters & Date Ranges

All analytics pages share a common filter bar that lets you narrow data by time period and other criteria.

Date Range Presets

• Today — Data from the current day only.
• Yesterday — Data from the previous day.
• Last 7 Days — Rolling one-week window.
• Last 30 Days — Rolling one-month window.
• This Month — From the 1st of the current month to today.
• Last Month — The entire previous calendar month.
• This Quarter — Current fiscal quarter.
• Custom Range — Pick exact start and end dates using the date picker.

Additional Filters

• Vendor — Filter analytics to a specific vendor's items.
• Team — Show only data for a specific team.
• User — Focus on an individual user's activity (admin only).
• Auction — Filter to items in a specific auction.

Receiving Analytics

Receiving analytics track how items enter your system through scanning at the Processing Station.

Key Metrics

• Items Scanned — Total items created in the selected period. Shown as a daily trend line.
• Barcode Match Rate — Percentage of scanned barcodes that returned a product match from the database. Higher is better — it means less manual data entry.
• Average Scan Time — Mean time between item saves at the Processing Station, indicating scanning speed.
• Items Per Hour — Average scanning throughput per user per hour.
• Manifest Accuracy — For manifested vendors, the percentage of manifest items that were actually received.
• By Vendor Breakdown — A pie or bar chart showing which vendors contributed the most items.

Put-Away Analytics

Put-away analytics measure how efficiently items are moved from the receiving area to warehouse locations.

Key Metrics

• Items Put Away — Total items assigned to locations in the period.
• Average Time to Put-Away — Mean time between an item being scanned and being assigned to a location. Lower is better.
• Put-Away Backlog — Number of items currently scanned but not yet assigned to a location.

Picking Analytics

Picking analytics track the efficiency and accuracy of your picking operations.

Key Metrics

• Items Picked — Total items successfully picked in the period.
• Pick Accuracy — Percentage of picks where the correct item was scanned on the first attempt.
• Average Pick Time — Mean time to pick a single item (from display to scan confirmation).
• Pick Lists Completed — Number of pick lists fully completed in the period.
• Exception Rate — Percentage of pick attempts that resulted in a "not found" exception.
• Average Pick List Duration — Mean time from pick list activation to completion.

Vendor Performance

Compare vendors side by side to identify your most profitable sources and underperformers.

Vendor Comparison Table

The vendor performance report shows a sortable table with these columns for each vendor:

• Total Items — Items received from this vendor.
• Total MSRP — Combined retail value of all items.
• Total Revenue — Combined sale prices from auctions.
• Sell-Through Rate — Percentage of items that sold.
• Average Sale Price — Mean sale price per sold item.
• Recovery Rate — Revenue as a percentage of MSRP (how much of retail value you captured).
• Profit Margin — Revenue minus acquisition cost (if cost data is available).
• Manifest Accuracy — How accurately the vendor's manifests matched actual shipments.

Revenue Analytics

Revenue analytics provide a financial view of your auction operations.

Revenue Dashboard

• Total Revenue — Sum of all sale prices for sold lots in the period.
• Revenue Trend — A line chart showing daily/weekly revenue over time.
• Revenue by Auction — Breakdown of revenue per auction event.
• Revenue by Category — Which product categories generate the most revenue.
• Revenue by Vendor — Which vendor sources are most profitable.
• Average Lot Value — Mean sale price per lot.
• Top Selling Lots — The individual lots that sold for the highest prices.

Inventory Aging

The inventory aging report shows how long items have been sitting in your warehouse without selling. Aging inventory ties up space and capital.

Aging Buckets

Items are grouped into aging buckets based on how many days since they were scanned:

• 0-7 days — Recently received items still in the pipeline.
• 8-14 days — Should be lotted and approaching auction.
• 15-30 days — Should have gone through at least one auction cycle.
• 31-60 days — Aging inventory that needs attention.
• 60+ days — Stale inventory that should be repriced, relisted, or disposed of.

Each bucket shows the item count and total MSRP value. Click a bucket to see the individual items in that age range.

Throughput Analytics

Throughput analytics measure the flow of items through each stage of your operation: scanning, lotting, exporting, selling, and picking.

Pipeline Stage Counts

The throughput page shows pipeline stage counts, displaying how many items are at each stage of your operation. This helps you spot bottlenecks — if items are piling up at a particular stage, you can see it at a glance.

Stage Metrics

• Scan to Lot — Average time from scanning an item to it being assigned to a lot.
• Lot to Export — Average time from lot creation to CSV export.
• Export to Sale — Average time from export to the lot being marked as sold.
• Sale to Pick — Average time from sale to the item being picked.
• End to End — Total average time from scanning to picking (fulfillment).

User Productivity

User productivity reports show how individual team members are performing across scanning, put-away, and picking tasks.

Per-User Metrics

• Items Scanned — Total items scanned by this user in the period.
• Scan Rate — Average items per hour while actively scanning.
• Items Put Away — Total items assigned to locations by this user.
• Items Picked — Total items picked from pick lists.
• Pick Accuracy — Percentage of first-attempt correct picks.
• Active Hours — Total time the user spent actively working in the system (based on activity timestamps).