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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for WooCommerce Min/Max Quantities

WooCommerce Min/Max Quantities sets minimum, maximum, and step values per product, category, or order. SleekView Charts turns those rules and the orders that respect them into a dashboard.

♾️ Lifetime License available

SleekView Charts dashboard for WooCommerce Min/Max Quantities

Quantity constraints are simple meta, charts make their impact visible

WooCommerce Min/Max Quantities writes its configuration to standard product meta: _wc_min_max_qty_minimum_allowed_quantity, _wc_min_max_qty_maximum_allowed_quantity, _wc_min_max_qty_group_of_quantity, plus order-level min and max settings. Once the rules are live they shape every cart and every order, but the admin offers only per-product edit screens with no rollup view.

SleekView Charts reads wp_postmeta for products and wp_wc_order_itemmeta for what actually shipped. A KPI counts products that have any min/max rule applied. A Pie splits products by which rule type they use (minimum only, maximum only, both, group of). A Bar plots average order item quantity per product so the MOQ choices show their effect. An Area trends order size over time, useful when a min change goes live and the team wants to see the impact on revenue per order.

The point is to make the rules legible. Stores set min and max constraints to protect margin, manage inventory, or hit wholesale tiers, and a chart layer turns those policies into something a finance or merchandising team can actually review.

Workflow

From quantity rules to a constraints dashboard in four steps

1

Pick the dataset

Choose products for rule-coverage charts, or order items for impact charts on what actually ships.
2

Pivot the meta

Min, max, and group-of meta keys surface as groupBy columns once they exist on at least one product.
3

Configure chart cards

Add a Number for products with rules, a Pie for rule type, a Bar for average quantity per product, an Area for average quantity over time.
4

Save the dashboard

The dashboard becomes a saved view that lives next to the products and orders tables in WP Admin.

Sample dashboard

Charts you can build from WooCommerce Min/Max Quantities data

Quantity rules touch every cart. Four cards turn them into a real merchandising and operations view.
Number · Default

Products with quantity rules

Single KPI counting products that have at least one min, max, or group-of meta key set, the coverage baseline for rule audits.
Count
Pie · Donut

Products by rule type

Donut breakdown of products by rule type (min only, max only, both, group of), showing which strategy dominates the catalogue.
Count group by rule_type
Bar · Horizontal

Average quantity per product

Horizontal bar of average ordered quantity (_qty in order item meta) per product, showing where MOQ choices actually move order size.
Average(_qty) group by product_id
Area · Gradient

Average order item quantity over time

Area chart of average ordered quantity per day, ideal for measuring the impact of a min/max change after it goes live.
Average(_qty) group by date_created_gmt

Comparison

Default WooCommerce Min/Max Quantities reporting vs SleekView Charts

Default Min/Max Quantities settings UI

  • Rules are edited per product or per category, with no admin-wide rollup of coverage.
  • Average order item quantity per product is not exposed in any built-in report.
  • The impact of a min or max change on real order size is not measurable from the plugin UI.
  • Stores cannot chart rule-type distribution across the catalogue without an export.
  • Coverage gaps (products with no rule at all) require a manual product query to find.

SleekView Charts

  • Reads wp_postmeta and wp_wc_order_itemmeta directly, no extra logging.
  • Pivots min, max, group-of, and order-level constraints as groupBy columns.
  • Number, Pie, Bar, Area, Line, Radar, and Radial chart types on the same dataset.
  • Aggregations cover count, sum, average, minimum, and maximum.
  • Same data feeds Table, Kanban, and Charts views in one workspace.

Features

What SleekView Charts gives you for WooCommerce Min/Max Quantities

Rule coverage at a glance

A Number KPI plus a Pie of rule types turns thousands of per-product settings into one dashboard the merchandising team can scan.

Impact on real orders

Average ordered quantity over time shows whether a min change actually moves order size, instead of relying on intuition.

One dataset, every view

Products and order items feed Table, Kanban, Feedback, and Charts views. Switch presentation without rebuilding the query.

Audience

Who builds WooCommerce Min/Max Quantities charts dashboards with SleekView

Merchandising teams

Coverage and rule-type charts surface gaps where MOQ rules should exist but do not, especially for wholesale or bundled SKUs.

Finance and margin owners

Average order size charts validate the assumption that a higher minimum protects margin without crushing conversion.

Inventory teams

Max quantity rules combined with average ordered quantity per product flag where stock policy and rule policy disagree.

The bigger picture

Min/max rules shape every cart, charts make them measurable

Min/max quantity rules are quiet operational levers: a single per-product setting can lift average order value or protect stock, but the plugin's admin UI is product-by-product and offers no aggregate view. Stores end up with thousands of rules and no idea which ones still apply, which ones move the needle, or which products fell through the cracks. SleekView Charts reads the existing product and order item meta and turns it into a clear merchandising dashboard.

Coverage, rule-type mix, and impact on real ordered quantities all live in one saved view. The plugin keeps owning the rule engine; SleekView charts the data it produces.

Questions

Common questions about SleekView Charts for WooCommerce Min/Max Quantities

Yes. SleekView reads wp_wc_orders and wp_wc_orders_meta on HPOS, or wp_posts and wp_postmeta on legacy. Order item meta stays the same in both cases.

 

Yes. Order-level min and max settings are stored as separate option keys and surface as their own chartable values.

 

Group-of quantities and step values surface as groupBy columns once they exist on at least one product.

 

Yes. SleekView reads the same canonical meta keys. The plugin's per-product UI still owns rule creation; SleekView reports on the result.

 

Yes. Category taxonomy joins from wp_term_relationships come through as groupBy columns, so rule coverage per category is a single Bar.

 

No. Charts render in the admin against existing product and order item tables. The cart and checkout serve unchanged.

 

There is no hard cap. Most merchandising teams build four to ten cards per saved view to keep the dashboard scannable.

 

Yes. The same capability checks that gate the products and orders screens also gate the charts dashboard.

 

Pricing

More than 1000+
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