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Power BI Analytics

Industry analytics

Fill rate and customer margin from ERP + WMS—by DC and ship-to

Wholesalers argue when ERP order lines, WMS ship-confirm, and CRM account tiers disagree on DC/SKU/customer grain. We model fill rate and margin in Power BI so sales and ops share one backorder definition before the morning ship meeting.

NDA-readyFixed-scope first releaseBusiness + IT handover
Example: Commercial dashboard for wholesale — fill rate, gross margin, inventory turns, and supplier OTIF (illustrative).
  • Operating since 2012
  • Microsoft Power BI specialists
  • NDA-ready data handling
  • Fixed-scope first releases
  • Independent — not affiliated with Microsoft

Reporting challenges

Typical friction when CRM, ERP, and operational tools are reported separately.

  • 01ERP order and WMS shipment status disagree on fill rate and backorders.
  • 02Customer and product margin are recalculated outside ERP pricing and rebate rules.
  • 03Supplier OTIF from purchasing portals never joins inventory risk in one view.
  • 04CRM account plans ignore real AR and margin from finance.
  • 05B2B portal and sales-rep channels report volume differently.

How Power BI for Wholesale solves it

What changes when those systems feed a governed Power BI model.

  • Implement Power BI for wholesale that connects ERP, WMS, CRM, and purchasing.
  • Publish commercial and supply dashboards for revenue, margin, fill rate, and supplier OTIF.
  • Give sales and operations one availability and backlog definition.
  • Tie CRM account health to AR and margin for better coverage decisions.
  • Automate refresh so wholesale reporting keeps up with daily order flow.

Why this work matters commercially

03

Commercial considerations

Wholesale organizations already manage the business in ERP, WMS, CRM, purchasing, and B2B ecommerce. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.

Sales works CRM while availability lives in WMS/ERP—fill rate and margin debates dominate every Monday. Power BI for Wholesale only works when those systems of record feed one governed semantic model with documented KPI definitions.

Power BI Analytics scopes the first release around the wholesale decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.

Who this is for

Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.

01Wholesale executives who need one operating view across CRM/ERP and plant or field systems
02Finance partners tired of reconciling conflicting system extracts
03Operations and functional managers who need earlier exception visibility
04IT and analytics teams responsible for maintainable Power BI on Microsoft

How value is measured

We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.

01

Time saved

Measure hours currently spent assembling wholesale reporting packs, reconciling totals, and answering “which number is correct?”

02

Decision speed

Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.

03

Control and trust

Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.

04

Adoption

Confirm the intended audience actually uses the report in the meeting or process it was designed for.

Where wholesale data already lives

Sales works CRM while availability lives in WMS/ERP—fill rate and margin debates dominate every Monday. Power BI consulting connects these systems of record into one governed reporting model.

01

ERP

orders, pricing, AR/AP, margin

02

WMS

picks, fill rate, inventory accuracy

03

CRM

accounts, sales coverage, pipeline

04

Purchasing / supplier portals

OTIF, lead times

05

Ecommerce / B2B portals

digital order channels

KPIs that support action

01

Fill rate

Orders fulfilled complete on first shipment from ERP + WMS.

02

Gross margin

Profitability by customer, product, or channel.

03

Inventory turns

Velocity of stock movement.

04

Supplier OTIF

Supplier deliveries on time and in full.

Recommended dashboards

Recommended wholesale dashboards

Power BI for Wholesale patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.

Dashboard

Commercial dashboard

Revenue, margin, customer, salesperson, and product trends from ERP + CRM.

  • Connected to ERP, WMS, CRM, purchasing, and B2B ecommerce
  • Thresholds and owners
  • Drill to operational detail

Dashboard

Supply dashboard

Inventory, supplier service, purchasing, and shortage exposure.

  • Connected to ERP, WMS, CRM, purchasing, and B2B ecommerce
  • Thresholds and owners
  • Drill to operational detail

Operating cadence

Reporting only creates value when it lands in a real review rhythm.

Daily or shift exceptions from operational systems into Power BI
Weekly wholesale performance review with owned actions
Monthly executive scorecard with variance commentary
Quarterly model improvements tied to adoption and ROI

Example reports

  • 01Wholesale executive scorecard from governed Power BI measures
  • 02Wholesale operations exception pack by site, team, or account
  • 03Variance and root-cause drill-through tied to source systems
  • 04Trend, forecast, and owner-threshold report for weekly reviews

What improves

  • Implement Power BI for wholesale that connects ERP, WMS, CRM, and purchasing.
  • Publish commercial and supply dashboards for revenue, margin, fill rate, and supplier OTIF.
  • Give sales and operations one availability and backlog definition.
  • Tie CRM account health to AR and margin for better coverage decisions.
  • Automate refresh so wholesale reporting keeps up with daily order flow.

Frequently asked questions

05

Buyer questions answered

Original ordered SKU vs shipped SKU with a substitution flag. Fill rate can be line-complete or value-complete—measure descriptions lock one. ERP and WMS must share OrderLineId bridges.

Separate fact tables at claim/line grain linked to Customer and Vendor. Mixing rebates into product margin without timing rules inflates GP. Import after rebate period close; do not DirectQuery mid-calculation spreadsheets.

Nightly on-hand snapshots Import; operational pick-face screens may Dual. Query reduction on DC/SKU slicers for any DirectQuery path. Personal gateways at a single DC office are not portfolio architecture.

CRM tier and ERP AR ageing share CustomerId. DSO and fill rate appear together for coverage meetings. USERPRINCIPALNAME RLS for sales reps maps to account ownership—test View as after CRM owner changes.

Full history of order lines, broken folding after custom columns, and credential expiry in Manage gateways. Incremental on OrderDate with Detect data changes for late credits once capacity supports the policy.

Book a call about wholesale reporting

Talk through priorities, data sources, and a practical first Power BI release.