FMCG analytics in Power BI — sell-in, sell-out and trade spend in one view
Brisbane-based, operator-led reporting support for FMCG & consumer goods teams that need clearer KPIs, less manual reporting, and numbers the business can trust.
Live FMCG & consumer goods dashboard preview
A working illustration of the reporting we typically build for FMCG & consumer goods clients in Brisbane and Queensland. Numbers are illustrative — yours land in the same layout once we connect your data sources.
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FMCG & Consumer Goods reporting in Brisbane and Queensland
Queensland FMCG businesses need fast visibility across sales, inventory, production, distribution, and margin without waiting for month-end clean-up.
The numbers that decide a FMCG and consumer goods week - DIFOT (delivered in full, on time), gross margin by SKU and sell-through rate - are produced by production schedules, WMS and ADP Payroll, which were bought at different times to solve different problems and were never meant to be read together. So they get reconciled by hand, and the answer arrives after the shift it was supposed to inform.
We connect those sources directly, agree what each metric counts before anyone builds a visual, and hand high-volume consumer goods teams reporting that refreshes on its own. The measure of success is that the meeting opens on what to do, not on whether the figures are right.
The meeting this is built for
The Monday commercial review. Sales has channel data from the CRM. Production has output from the ERP. Supply chain has fill rates from the WMS. Marketing has campaign spend from three platforms. The meeting loses twenty minutes reconciling numbers before anyone discusses what to do about the declining margin on the top SKU. This reporting is built so the commercial team sees sell-through, margin, and inventory position in one view - and the meeting focuses on pricing, promotion, and allocation decisions.
Who this reporting is built for
Commercial / Sales Director
- Cares about
- channel sell-through, margin by SKU, and promotional ROI
- Frustrated by
- sales data from multiple channels that never reconciles cleanly
- Needs to decide
- trade spend allocation, pricing, and channel mix
Operations / Production Manager
- Cares about
- production throughput, waste, and schedule adherence
- Frustrated by
- production vs demand visibility lag
- Needs to decide
- line scheduling, changeover priorities, and output targets
Supply Chain Manager
- Cares about
- inventory turns, fill rate, and distribution cost
- Frustrated by
- forecasting and inventory data across multiple systems
- Needs to decide
- replenishment strategy and supplier performance actions
Marketing Manager
- Cares about
- brand performance, campaign effectiveness, and shelf presence
- Frustrated by
- scattered market data and manual trade reporting
- Needs to decide
- promotional planning and marketing budget allocation
CFO / Finance Manager
- Cares about
- gross margin, trade terms impact, and working capital
- Frustrated by
- month-end packs that depend on manual sales and cost consolidation
- Needs to decide
- pricing, cost-to-serve, and capital deployment
National / Regional Sales Manager
- Cares about
- territory performance and customer profitability
- Frustrated by
- manual territory reporting and delayed sell-out data
- Needs to decide
- rep focus, account reviews, and distribution expansion
What's going wrong now
Operational and financial data live in different systems with different definitions.
The weekly review loses time reconciling numbers instead of making decisions.
One person carries the entire reporting load.
Issues are discovered after the reporting period closes, not during it.
Leadership cannot drill into the numbers without requesting a custom report.
What changes after this is built
Common FMCG & consumer goods reporting problems
batch and run records and line performance data each hold part of the same answer and disagree on the total
Sell-through rate and rate of sale are calculated differently by finance and operations, and both are defended
Reporting still depends on Excel workbooks, manual checks and copied values
There is no clean single view by site, line, shift and asset
Review meetings lose time validating the data before the decision can start
Distribution and ranging by customer arrives after the window in which anyone could have acted on it
Too much of the reporting lives with one person, or in one undocumented workbook
Existing Power BI reports are slow, stale, or quietly not trusted
Managers cannot drill into a number without asking someone to rebuild the report
Assembling FMCG and consumer goods reporting takes longer than reviewing it does
Planned versus actual is weak across shifts, lines, sites and assets
Out-of-stock rate is visible per site but not comparable between them
What changes
What this work typically achieves
What that usually looks like in FMCG & Consumer Goods
What people notice day to day
Used in weekly operational reviews
Numbers no longer debated in meetings
Reporting no longer rebuilt manually each period
Book a reporting clarity call
You'll leave with a written action plan: speed issues, KPI drift, governance gaps, and a practical 30-day fix path.
Systems and data sources we connect
Reporting friction often starts because the right data sits across disconnected platforms. We connect the sources that matter for FMCG & consumer goods reporting.
ERP and finance platforms
Production and operations
Supply and demand
Workforce and cost
Data interfaces and files
What we build for FMCG & consumer goods teams
Promotional evaluation dashboards
Every promotion measured against its own baseline, with volume, revenue, margin and trade spend on one line instead of four spreadsheets.
Sell-in versus sell-out reporting
What you shipped against what actually left the shelf, by customer and by SKU, so inventory sitting in the channel stops looking like demand.
Distribution and ranging visibility
Where each SKU is ranged, where it has been delisted, and where distribution gaps are costing volume.
Forecast accuracy and demand review
Accuracy tracked by SKU, customer and horizon, so the demand meeting argues about the exceptions rather than about whose number is right.
Trade spend and margin reporting
Trade spend as a share of gross sales, and gross margin by SKU and customer, on the same page as the volume it bought.
Service and supply dashboards
DIFOT, fill rate and stock cover by customer and DC, so a service conversation starts from the same numbers the customer is holding.
Key FMCG & consumer goods KPIs and decision metrics
Sell-out and channel
- sell-in versus sell-out
- sell-through rate
- rate of sale
- distribution and ranging by customer
- out-of-stock rate
Supply and service
- DIFOT (delivered in full, on time)
- fill rate
- forecast accuracy
- stock cover in weeks
- stock turns
- ageing and write-off exposure
Commercial and margin
- gross margin by SKU
- trade spend as % of gross sales
- promotional uplift against baseline
- cost to serve by customer
- net revenue by channel
What becomes easier after implementation
The value is not only in the dashboard or the data model. It is in what changes day to day once reporting stops being a source of friction.
Why Roar Data for FMCG & consumer goods reporting
Queensland FMCG businesses need fast visibility across sales, inventory, production, distribution, and margin without waiting for month-end clean-up.
That is the environment the reporting has to survive, so we build it around how high-volume consumer goods teams actually work - what gets asked in the meeting, what has to reconcile, and what breaks when one person is on leave.
We are Brisbane-based and work across Queensland and the rest of Australia. For FMCG & consumer goods that matters less for proximity than for availability: someone who will sit in the review where the numbers get argued about, rather than only in the handover.
The test is whether the reporting still gets opened six months later without us. If it needs a specialist to maintain, it was built wrong.
FMCG & Consumer Goods reporting FAQs
Which systems can you connect Power BI to for FMCG and consumer goods reporting?
Which FMCG and consumer goods reporting metrics do you model first?
Can you fix an existing FMCG and consumer goods Power BI setup rather than rebuild it?
Can you report across multiple sites?
Do you need to understand FMCG and consumer goods reporting to build it?
Talk through your FMCG & consumer goods reporting
If your reporting still depends on manual work, spreadsheet fixes, or numbers people do not fully trust, we can map out a practical way forward.
Our services
Power BI Consulting
Roar Data helps Australian organisations eliminate spreadsheet reporting, unify fragmented systems and deliver real-time executive, financial and operational dashboards using Microsoft Power BI.
Explore servicePower BI Managed Services
Ensure your dashboards stay accurate, secure and performance-ready with proactive Power BI monitoring, optimisation and continuous improvement.
Explore servicePower BI Training Brisbane
Practical Power BI training for Brisbane teams that need reports to be maintainable, commercially useful, and easier to run day to day.
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