ATUM Stock Logs writes every inventory movement as an atum_inventory_log post in wp_posts with a log type (Reserved Stock, Lost In Post, Customer Returns, Inbound Stock, Warehouse Damages, Other) persisted as _type postmeta. The individual stock adjustments persist as rows in the custom atum_log_items table, each carrying a product ID, quantity, and direction. Counterpart meta in atum_log_itemmeta stores the per-item details that drove the adjustment.

The default ATUM Inventory Logs screen lists logs chronologically and exposes a per-log item drilldown. It never aggregates the catalog of adjustments by reason, by product, or by direction across a window of time. Operations teams running warehouse damage reviews, customer-return reconciliation, and inbound stock audits need exactly that aggregation to staff inventory work and prove inventory accuracy to finance.

SleekView Charts reads the same wp_posts log rows and the same atum_log_items table. A Number card sums stock-in quantities this month. A Donut splits adjustments by reason (the _type postmeta). A Bar ranks the products with the most adjustment rows over a window. And an Area chart trends daily adjustment volume so the team sees the warehouse rhythm without exporting CSVs. The plugin already collects every movement; the dashboard makes the operation measurable.

Inventory accuracy is a finance problem disguised as an ops problem. ATUM Stock Logs writes every movement cleanly to dedicated tables: each log as a post with a typed reason, each line as a row in atum_log_items with a product, quantity, and direction. The data shape is auditable.

The default admin presents the logs chronologically with a per-log drilldown, and it never aggregates the catalog of movements into the metrics inventory accuracy actually needs. Total inbound for the period, return volume, damage rate, and per-product adjustment hotspots all live one analysis pass away from the data. SleekView Charts reads the ATUM tables and renders the four cards that turn the log catalog into a measurable system.

Stock in as a Number, reason mix as a Donut, most-adjusted products as a Bar, and daily volume as an Area trend. The plugin already writes the audit trail. The dashboard makes the audit readable.