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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
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SleekView Charts for Min Max Quantities: chart rule hits and AOV

Min Max Quantities stores _wpbo_minimum_oqty, _wpbo_maximum_oqty, and _wpbo_step on every product. SleekView Charts reads those rules and joins them to woocommerce_order_itemmeta line quantities so the dashboard answers whether your rules are working.

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SleekView Charts dashboard for Min Max Quantities for WooCommerce

Read your quantity rules and order quantities as a chart dashboard

Min Max Quantities already has the data on both sides. Every product carries postmeta for _wpbo_minimum_oqty, _wpbo_maximum_oqty, and _wpbo_step when a rule is set, with global fallbacks in wp_options under wpbo_settings. On the order side, WooCommerce stores the quantity per line item in woocommerce_order_itemmeta under the _qty meta_key, joined to the product through _product_id and to the order through order_item_id. The plugin admin is just a few extra fields on the product edit screen, so reading the impact of the rules across the catalog is impossible without SQL.

SleekView Charts reads those tables together and turns them into chart cards on a single dashboard. A Number card counting products that have a non null _wpbo_minimum_oqty, a Donut splitting line items by whether they sit at the minimum, in the middle, or at the maximum, a Horizontal Bar of products with the highest average _qty in the period, and an Area chart of daily AOV computed from total_amount divided by line counts. Each card is a saved query against the live tables.

This is not a replacement for the rule engine. PluginEver and similar Min Max plugins still own the product edit fields, the cart validation, and the message shown when a customer tries to break a rule. SleekView Charts adds the reading layer the product field never tries to provide: rule coverage across the catalog, AOV impact, and quantity distribution, scoped per role and embeddable on a frontend page.

Workflow

From _wpbo_minimum_oqty to a dashboard in four steps

1

Point SleekView at products and order items

Add a SleekView data source for wp_postmeta filtered to _wpbo_minimum_oqty, _wpbo_maximum_oqty, and _wpbo_step, plus woocommerce_order_items and woocommerce_order_itemmeta for the _qty values per order line.
2

Switch the view to Charts

Flip the view from Table to Charts. SleekView creates a blank dashboard. The Min Max Quantities product fields stay untouched on the product edit screen and continue to own the rules per product.
3

Add chart cards for rule coverage and AOV

Pick a chart type, a grouping column (product_id, _wpbo_minimum_oqty bucket, date_created_gmt), and an aggregation. Count products with a min rule for coverage and average _qty per order line for impact tracking.
4

Save and share the dashboard

Save the chart view, scope it per role for catalog managers, ops, and the owner, and optionally embed it on a frontend page so stakeholders see rule coverage and AOV impact without the product edit screen.

Sample dashboard

Charts you can build from Min Max Quantities data

Four cards that turn the _wpbo product postmeta and the _qty order line meta into a working quantity rules dashboard inside WordPress.
Number · Default

Products with a min rule

A KPI counting wp_posts rows of post_type product where wp_postmeta has a non null _wpbo_minimum_oqty, so the catalog team sees how much of the catalog is actually governed by a minimum quantity rule.
Count(post_id)
Pie · Donut

Order line position vs rule

A donut splitting woocommerce_order_itemmeta _qty values into at the minimum, between min and max, and at the maximum buckets, using each product's _wpbo_minimum_oqty and _wpbo_maximum_oqty.
Count group by rule_bucket
Bar · Horizontal

Top products by average quantity

A horizontal bar of products by average line quantity in the window, sourced from woocommerce_order_itemmeta _qty grouped by _product_id, useful for spotting where the step or minimum rule actually moved AOV.
Average(_qty) group by product_id
Area · Gradient

Daily AOV trend

A gradient area chart of average order value per day from wc_orders, useful for spotting whether tightening a minimum quantity rule on a top product actually lifted AOV across the store.
Average(total_amount) group by date_created_gmt

Comparison

Default Min Max Quantities admin vs SleekView Charts

Default Min Max Quantities admin

  • Min Max rules are set on the product edit screen but never counted across the catalog
  • _wpbo_minimum_oqty, _wpbo_maximum_oqty, and _wpbo_step are not chartable in the WooCommerce admin
  • No way to see whether order lines actually sit at the min, mid, or max range
  • No saved dashboards per role for catalog managers and the owner
  • No frontend embed for stakeholders watching AOV trends without admin access

SleekView Charts

  • Configurable chart cards built directly from _wpbo_ product meta and _qty line meta
  • Mix Number, Pie, Bar, Line, and Area cards on a single quantity rules dashboard
  • Group by product_id, _wpbo_minimum_oqty bucket, _wpbo_maximum_oqty bucket, and date_created_gmt
  • Saved chart views scoped per role for catalog managers and the owner
  • Embed any saved chart view on a frontend page with role based access

Features

What SleekView Charts gives you for Min Max Quantities for WooCommerce

Chart cards on quantity rules

Number, Pie, Bar, Line, and Area cards built from the _wpbo product postmeta and the _qty order line meta WooCommerce writes for every cart that respects a quantity rule.

Complements the rule engine

Min Max Quantities still owns enforcing min, max, and step at the cart. SleekView Charts adds the reading layer so the team sees whether the rules actually changed buyer behaviour.

Role scoped sharing

Save dashboards per role and embed them on frontend pages so catalog managers see only the slice you allow without the product edit screen rule fields.

Audience

Who builds Min Max Quantities dashboards with SleekView

Catalog managers

Track the products with a min rule KPI and the rule coverage trend to know whether new SKUs are getting their quantity rule set during catalog onboarding.

Finance teams

Read the daily AOV area chart in the same window where a minimum quantity rule changed, so the impact of the rule shows up clearly next to the revenue picture.

Store owners

Watch the order line position donut to know whether customers buy at the minimum and stop or naturally step beyond it, the right signal for whether to tune the step value upward.

The bigger picture

Quantity rules deserve a feedback loop

Min Max Quantities stores plenty of data. Each product carries the rule as postmeta and every order line carries the resulting quantity in woocommerce_order_itemmeta. The reading side, however, never gets built.

The product edit screen is fine for setting a rule. WooCommerce reports do not split AOV by rule coverage. So a real question, like did raising the minimum on a top product actually move AOV across the store, requires SQL or a CSV export.

SleekView Charts reads the same product meta and line item meta and turns them into chart cards on one saved dashboard. The catalog team sees rule coverage across the catalog. The owner sees the line position donut and knows whether customers actually step beyond the minimum or stop right at it.

Finance sees the AOV trend in the same window as the rule change. The Min Max plugin keeps owning the enforcement at the cart and the message shown to the customer; SleekView Charts adds the reading layer so a small team can tune the rules with evidence instead of intuition.

Questions

Common questions about SleekView Charts for Min Max Quantities for WooCommerce

No. The Min Max Quantities plugin still owns the product edit fields, the cart validation, and the error messages when customers try to break a rule. SleekView Charts reads the same _wpbo_ product meta and the _qty order line meta and renders chart cards on top, so the two plugins are complementary.

 

Yes. SleekView Charts reads the wp_options row for wpbo_settings, so chart cards can fall back to the global minimum or step when a product does not carry its own _wpbo_minimum_oqty, exactly the way the plugin's runtime selection logic does on the cart and checkout.

 

Yes. SleekView Charts computes a per line bucket using each product's _wpbo_minimum_oqty and _wpbo_maximum_oqty meta and the line _qty. A Donut card renders the share of lines at the minimum, between min and max, and at the maximum, useful for spotting which rules customers cluster against.

 

Yes. The daily AOV area chart sources total_amount from wc_orders and you can overlay a marker on the day a rule changed. AOV does not isolate to a single rule, but the chart makes it easy to see whether a meaningful change happened in the same window across the store.

 

Some Min Max plugins write rules at the variation level too. SleekView Charts reads the postmeta on the variation post when present and falls back to the parent product otherwise, so the rule coverage KPI counts variation level rules correctly without double counting the parent.

 

Yes. Plugins like Min Max Quantities for WooCommerce store category and role rules in wp_options under wpbo_settings_groups. SleekView Charts reads that option to bucket lines correctly when a product does not carry its own min, mid, max meta but is governed by a group rule.

 

Order line meta lives in woocommerce_order_itemmeta whether HPOS is on or off. SleekView Charts reads that table directly and joins back to wc_orders or shop_order posts depending on storage mode, so the chart cards stay the same regardless of HPOS.

 

Yes. SleekView ships a frontend embed with role based access, so a catalog or finance lead can land on a private page that shows rule coverage, the line position donut, and AOV trend without ever opening wp-admin or the product edit screen.

 

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