✨ 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
✨ 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 Step Control

Min Max Step Control writes its rules into product postmeta. SleekView Charts pivots those values across every product so merchandising sees coverage, distribution and edit cadence as chart cards.

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SleekView Charts dashboard for WooCommerce Min Max Step Control

Quantity rules sit in postmeta. Coverage is what merchandising actually needs.

WooCommerce Min Max Step Control stamps min, max and step values onto each product as postmeta (typically _wpbo_minimum, _wpbo_maximum, _wpbo_step and rule-related keys for bulk discounts). The values drive checkout validation; coverage and consistency across the catalog stay invisible unless someone opens each product.

SleekView Charts reads wp_posts joined to wp_postmeta and surfaces those rule fields as columns. A Number card counts products with any rule set. A Pie splits products by whether they have a minimum, a maximum or a step constraint. A Bar ranks categories by rule coverage. An Area trends rule edits per week so a merchandising lead sees who has been updating constraints and when.

The same dataset feeds the Table and Chart views, so a coverage gap spotted in the chart drills down to the exact products in the table with one filter.

Workflow

Turn Min Max Step Control rule meta into a dashboard

1

Read the product rules

SleekView scans wp_posts for products and joins the Min Max Step Control meta keys. Every rule field becomes a chartable column alongside category, price and stock status.
2

Compose the chart cards

Pick Number, Pie, Bar, Line or Area cards. Group by category, has_minimum, rule type or post_modified. Aggregate as Count, Sum, Average, Minimum or Maximum.
3

Save and scope the dashboard

Name the dashboard ("Quantity rules coverage", "Wholesale catalog audit") and gate it by WordPress capability so merchandising, ops and admins each see the right slice.
4

Share or export

Send a stakeholder a read-only URL or export the filtered product set to CSV. The dashboard refreshes against live postmeta, no manual exports.

Sample dashboard

Charts you can build from Min Max Step Control data

Each card reads from wp_posts joined to the Min Max Step Control postmeta. Mix them for a merchandising audit, a wholesale review or a coverage check.
Number · Default

Products with any rule

Count of products with a min, max or step value set. The KPI a wholesale audit anchors on without opening every product.
Count
Pie · Donut text

Rule type mix

Share of products across minimum-only, maximum-only, step-only and combined rules. Shows which kind of constraint dominates the catalog.
Count group by rule_type
Bar · Horizontal

Rule coverage by category

Horizontal bar of how many products in each category carry a rule. Highlights gaps where bulk customers can still order one of an item meant to ship in cases of twelve.
Count group by product_cat
Area · Gradient

Rule edits per week

Trend of post_modified timestamps for rule-bearing products. Shows merchandising cadence and surfaces sudden spikes around supplier changes.
Count group by post_modified

Comparison

Default Min Max Step Control reporting vs SleekView Charts

Default Min Max Step Control admin

  • Rules sit on each product edit screen, no cross-catalog summary
  • No native KPI for total rule coverage across the catalog
  • Category-level rule gaps require a product-by-product check
  • Edit cadence on rules is invisible in the WooCommerce reports
  • Read-only sharing of a coverage snapshot outside WP admin is not built in

SleekView Charts

  • KPI for products carrying a quantity rule across the catalog
  • Pie split of rule type (minimum, maximum, step, combined)
  • Bar of rule coverage per product category
  • Area trend of rule edits per week for merchandising audits
  • Filters carry between the chart view and the product audit table

Features

What SleekView Charts gives you for WooCommerce Min Max Step Control

Catalog-wide coverage view

Render Min Max Step Control rules as Number, Pie, Bar and Area cards so merchandising sees coverage and gaps, not one product edit screen at a time.

Filters span chart and table

Filter to one category or to products without a maximum in the chart view and the audit table narrows the same way. Same products, two surfaces.

Read-only share and export

Send a supplier or wholesale account a URL of the rule-coverage dashboard, or export the filtered product set to CSV for a catalog handover.

Audience

Who builds Min Max Step Control charts dashboards with SleekView

Merchandising and wholesale

Audit which categories have full rule coverage and which still let single-unit orders through. Plug the gaps with bulk inline edits in the table view.

Finance and AOV reviews

Compare average order value across categories where minimums are set against those where they are not, then brief pricing changes against the measured lift.

Site auditors

Find products with conflicting rules (minimum above maximum, step that does not divide the minimum) in a saved chart-and-filter pair and queue them for fixes.

The bigger picture

Quantity rules quietly shape margin

Min Max Step Control protects margin on bulk catalogs by stopping a wholesale customer from ordering one unit of a twelve-pack or by forcing step quantities that match a case size. The protection only works if the rules are actually applied across the catalog. With rules stored as postmeta and no native coverage screen, a partial roll-out is invisible until the first off-spec order arrives at fulfilment.

A KPI of rule-carrying products, a pie of rule types, a bar of coverage per category and a trend of edits per week put that picture on one screen. The dashboard is built from the postmeta the plugin already writes; nothing about checkout validation changes.

Questions

Common questions about SleekView Charts for WooCommerce Min Max Step Control

Products from wp_posts joined to the Min Max Step Control postmeta keys (typically _wpbo_minimum, _wpbo_maximum, _wpbo_step and rule-related keys). Standard WooCommerce columns like price, stock status and category are joined alongside. SleekView reads only what is already in the database.

 

Yes. Group a Pie or Bar card by a derived rule_type column that SleekView computes from the presence of the minimum, maximum and step meta keys. A donut variant shows the share, a horizontal bar shows absolute counts.

 

Yes. Group a Bar card by product_cat with a Count aggregation. The chart shows how many products in each category carry a rule, which is the merchandising lens for gaps.

 

No. Min Max Step Control still owns the checkout-side enforcement of the rules. SleekView Charts adds a coverage and audit dashboard on top of the same postmeta values, so merchandising can see catalog-wide consistency.

 

Edits happen in the linked table view, which writes through the standard WooCommerce product CRUD layer. Use the chart to spot a category with weak coverage, switch to the filtered table, and bulk-edit the rule meta in place.

 

Yes. Any filtered product set behind a chart card exports as CSV with the rule meta columns the Table view would show. Useful for supplier handovers or wholesale catalog reviews.

 

Yes. Queries hit indexed columns on wp_posts and join only the Min Max Step Control meta keys actually in use, so large catalogs stay responsive. Aggregations are computed in SQL, not in PHP.

 

Yes. Variation-level rules stored on the variation post type are exposed as a separate chartable dataset, so a Pie or Bar card can split coverage between parent products and variations if the store uses both.

 

Pricing

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