Service is what keeps customers - or loses them
Wholesale customers can usually buy the same products somewhere else. What keeps them is reliability: the order arrives complete, and it arrives when promised. A short-shipped order or a missed delivery date is a small thing once - and a reason to switch supplier when it keeps happening. The problem is that these misses are easy to absorb day to day and hard to see in aggregate, so service can slide a long way before anyone notices.
Fulfilment reporting makes the pattern visible: which customers are being let down, which products keep falling short, and whether it's getting better or worse. That's the difference between reacting to a complaint and fixing the cause before the customer calls.
What belongs on a fulfilment dashboard
- Fill rate - share of order lines and quantities supplied in full, by customer and product
- On-time delivery - deliveries that met the promised date
- Backorders - outstanding lines, their age and the customers waiting
- Short-ship reasons - stockouts, order cut-offs, picking errors and other causes
- Most-affected customers and products - where service problems are concentrated
- Trend over time - whether service is improving or slipping
How SolveBI builds it on Power BI and Microsoft Fabric
We bring your order, stock and dispatch data together in Microsoft Fabric and deliver a Power BI dashboard that shows fulfilment from the customer's point of view. Customer service can see which accounts are affected, operations can see where orders are falling short and why, and management can see whether service is trending the right way - all from one shared, automatically refreshed view.

Complaints-driven vs a fulfilment dashboard
Reacting to complaints vs a unified fulfilment dashboard
| Aspect | Complaint-driven | SolveBI Power BI dashboard |
|---|---|---|
| How you find out | When a customer calls | Before they do - the pattern is visible |
| By customer | Hidden in a site-wide average | Fill rate and on-time per customer |
| Root cause | Anecdotal | Short-ship reasons grouped and ranked |
| Trend | Hard to tell if it's improving | Clear direction over time |
| Shared view | Service, ops and sales disagree | One picture everyone trusts |
Common mistakes in fulfilment reporting
- Only one site-wide number. It hides the specific customers whose service has quietly dropped.
- Counting misses without reasons. Knowing the fill rate fell doesn't tell you whether to fix stock, cut-offs or picking.
- No view of backorder age. A line outstanding for a week is a very different problem to one outstanding for a day.
- Waiting for the complaint. By the time a customer rings, the damage to the relationship is already done.
Find the customers you're letting down before they find a new supplier.
Book a free 30-minute consultation with a SolveBI consultant. We'll show you how a Power BI and Microsoft Fabric fulfilment dashboard makes your service performance clear, by customer, every day.



