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
Industry analytics
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.
Typical friction when CRM, ERP, and operational tools are reported separately.
What changes when those systems feed a governed Power BI model.
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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.
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
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Measure hours currently spent assembling wholesale reporting packs, reconciling totals, and answering “which number is correct?”
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Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
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Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
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Confirm the intended audience actually uses the report in the meeting or process it was designed for.
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.
orders, pricing, AR/AP, margin
picks, fill rate, inventory accuracy
accounts, sales coverage, pipeline
OTIF, lead times
digital order channels
Orders fulfilled complete on first shipment from ERP + WMS.
Profitability by customer, product, or channel.
Velocity of stock movement.
Supplier deliveries on time and in full.
Recommended dashboards
Power BI for Wholesale patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Revenue, margin, customer, salesperson, and product trends from ERP + CRM.
Dashboard
Inventory, supplier service, purchasing, and shortage exposure.
Reporting only creates value when it lands in a real review rhythm.
05
Buyer questions answered
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
Store margin and sell-through—POS, web, and inventory on one SKU day grain: connect POS, ecommerce, ERP inventory, merchandising, and loyalty CRM so leaders manage sales, margin, availability, and customer demand.
Power BI for Logistics: Dashboards, Analytics & Implementation: connect TMS, WMS, telematics, ERP, and customer-service CRM so leaders manage OTIF, freight spend, dwell, and lane cost.
Plant OEE and quality reporting from MES + ERP—without the night-shift Excel merge: connect ERP, MES, quality, maintenance, and inventory systems so leaders manage OEE, quality, cost, and on-time delivery.
Talk through priorities, data sources, and a practical first Power BI release.