Get a ready-to-use BI dashboard for the KPIs that matter most in food and beverage — plus the dimensional model, DAX measures, SQL views, sample data and targets behind it.
The real work is everything underneath it: data structure, business logic, relationships, targets and testing.
You need the right facts and dimensions — not a flat table pretending to be one.
You need the right grain — order line, batch, or shipment, not just “date”.
You need business rules that know food and beverage — shelf life, trade channel, batch genealogy.
You need real DAX measures and targets, not just a formula on a slide.
And it all has to work together, in one file, today.
Instead of spending weeks researching, modeling and debugging a KPI from scratch, start from a structured implementation built for food-and-beverage analytics.
Everything you need to understand, implement and reuse the KPI — in one place, for $149.
The real thing — facts, dimensions and relationships, not a flat table with labels swapped.
Trend, ranking, contribution and moving-average variants — not just the headline ratio.
Real fields: batch, plant, trade channel, shelf life — not generic Sales/Region placeholders.
Exactly which fields are mandatory and which are optional, in plain language.
SQL Server, Snowflake, Databricks, BigQuery — plug into the warehouse you already run.
For consultants: white-label it, extend it, connect it to a client’s data in hours, not weeks.
Find the metric you need across supply chain, manufacturing, quality, logistics, finance and more.
No procurement, no budget meeting. Tell us which KPI, and we send the working BI project.
Plug in your own data with the documented contract, or use it as a reference for your enterprise model.
Start with the KPI you need today — explore the full catalog below.
OTIF (On-Time In-Full) measures, for each customer order, whether it was delivered on time and in full at customer receipt. The pack breaks this ratio down by customer, site, product family, and channel, with gap-to-target and a 24-month rolling history.
Target 98%Warning 95%50+ DAX4 tables MFG-01 $149Combined measure of availability, performance and quality
Target 82%Warning 68%50+ DAX6 tables QFS-01 $149Number of consumer complaints per million units sold
Target 30Warning 6050+ DAX5 tables LOG-01 $149% of delivery lines arriving within agreed time window
Target 99%Warning 94%50+ DAX7 tables PRO-01 $149% of supplier order lines on time, in full, at required quality
Target 97%Warning 93%50+ DAX5 tables COM-13 $149% of total revenue from new product launches
Target 20%Warning 10%50+ DAX5 tablesA definition tells you what to calculate. An Implementation Pack shows you how to build it.
You own a KPI and don’t fully trust the number your team reports. Open the pack, plug in your own data with the documented contract, skip weeks of modeling and DAX work.
A client wants a food-industry dashboard fast. White-label the pack, extend it for their context, bill the difference instead of modeling a fact table from scratch again.
Every Implementation Pack follows the same fact-and-dimension structure and naming convention, so KPIs from different domains reuse the same dimension shapes — making it easier to combine multiple packs into a broader food-and-beverage analytics model.
No procurement, no budget meeting. Pick any KPI below, request the pack, and get a working BI project built for the food industry.
The Power BI report (.pbix), the PBIP source, a demo dataset, the DAX measure catalog, the data contract, ready-to-run SQL views (SQL Server, Snowflake, Databricks, BigQuery), a deployment guide, and the license.
Yes. The data contract documents required and optional columns — plugging in your own data doesn’t require touching the DAX measures.
That’s covered — contact us and we’ll fix or resend the file.
Email support for installation and setup questions is included (48h response time). The pack stays a self-serve product, not hands-on customization — if you need help integrating it with your ERP or adapting it to your context, that’s what our consulting services are for — a separate engagement.
No, they’re an indicative starting point. Food & beverage spans very different business models — adjust them to your own operations.
No refunds, as with most digital products.
Browse the list below — if your KPI isn’t there, a dedicated form lets you request it.
No KPIs match your search.
OTIF (On-Time In-Full) measures, for each customer order, whether it was delivered on time and in full at customer receipt. The pack breaks this ratio down by customer, site, product family, and channel, with gap-to-target and a 24-month rolling history.
Target 98%Warning 95%50+ DAX4 tables SC-02 $149% of order lines with no errors across all dimensions
Target 99%Warning 94.5%50+ DAX4 tables SC-06 $149Systematic over or under forecasting tendency
Target 5%Warning 8%50+ DAX7 tables SC-09 $149% of stock positions (SKU x location) out of stock at DC level
Target 1.5%Warning 3%50+ DAX5 tables SC-10 $149% of total inventory value written off as expired or obsolete
Target 0.1%Warning 1%50+ DAX6 tables SC-11 $149% of inventory classified as slow-moving or obsolete
Target 0.8%Warning 2%50+ DAX6 tables SC-12 $149Accuracy of physical inventory vs system records
Target 99%Warning 96%50+ DAX6 tables SC-17 $149% of production and sales plans executed as agreed in S&OP
Target 95%Warning 88%50+ DAX7 tables SC-20 $149% of order lines that cannot be fulfilled immediately
Target 0.3%Warning 1.5%50+ DAX4 tables SC-22 $149% of temperature-sensitive shipments with excursions
Target 0.5%Warning 1.5%50+ DAX5 tables SC-23 $149OTIF performance for co-manufacturing partners
Target 97%Warning 92%50+ DAX7 tables SC-24 $149Composite measure of ability to fulfill customer demand
Target 97.5%Warning 95%50+ DAX7 tablesCombined measure of availability, performance and quality
Target 82%Warning 68%50+ DAX6 tables MFG-02 $149OEE measured against 24/7 calendar time
Target 70%Warning 55%50+ DAX6 tables MFG-04 $149Average excess fill weight above target
Target 0.3%Warning 1.5%50+ DAX6 tables MFG-05 $149% of material scrapped during production
Target 1%Warning 3%50+ DAX7 tables MFG-06 $149% of units requiring rework before release
Target 1%Warning 4.5%50+ DAX7 tables MFG-07 $149% of batches passing quality on first attempt
Target 97%Warning 92%50+ DAX7 tables MFG-15 $149% of scheduled time lost to unplanned stoppages
Target 2%Warning 5%50+ DAX6 tables MFG-16 $149Total manufacturing cost divided by production volume
Target 180Warning 26550+ DAX7 tables MFG-18 $149Water used per tonne of product produced
Target 1.5Warning 450+ DAX6 tables MFG-19 $149% of material lost between input and finished product
Target 0.5%Warning 2%50+ DAX7 tables MFG-20 $149% of production classified below primary grade
Target 0.5%Warning 2%50+ DAX7 tables MFG-21 $149% of scheduled PMs completed on time
Target 98%Warning 92%50+ DAX5 tables MFG-24 $149Labor equivalent of OEE for workforce productivity
Target 85%Warning 70%50+ DAX7 tablesNumber of consumer complaints per million units sold
Target 30Warning 6050+ DAX5 tables QFS-03 $149Rate of foreign body incidents per production volume
Target 5Warning 22.550+ DAX5 tables QFS-06 $149% of batches released without rework or rejection
Target 97%Warning 93%50+ DAX7 tables QFS-09 $149% of Critical Control Point checks within limits
Target 100%Warning 99.9%50+ DAX7 tables QFS-11 $149% of corrective actions closed within agreed timeline
Target 95%Warning 85%50+ DAX6 tables QFS-14 $149% of closed CAPAs with no recurrence within 12 months
Target 90%Warning 75%50+ DAX6 tables QFS-23 $149% of finished products meeting all specification limits
Target 99%Warning 96%50+ DAX7 tables% of delivery lines arriving within agreed time window
Target 99%Warning 94%50+ DAX7 tables LOG-02 $149% of delivery lines with complete order quantities
Target 99%Warning 96%50+ DAX7 tables LOG-04 $149Total transport cost relative to net revenue
Target 3%Warning 6%50+ DAX5 tables LOG-06 $149% of truck capacity used per delivery
Target 96%Warning 83%50+ DAX5 tables LOG-08 $149% of picks completed without error
Target 99.8%Warning 99%50+ DAX5 tables LOG-12 $149Premium freight cost as % of total freight cost
Target 3%Warning 9%50+ DAX5 tables LOG-17 $149% of outbound shipments consolidated vs single-drop
Target 65%Warning 40%50+ DAX5 tables LOG-19 $149% of outbound picks following first-expiry-first-out rule
Target 99%Warning 96%50+ DAX6 tables LOG-22 $149% of warehouse transactions with errors
Target 0.1%Warning 0.5%50+ DAX5 tables LOG-23 $149% of outbound order lines meeting all service requirements
Target 98%Warning 94%50+ DAX7 tables% of supplier order lines on time, in full, at required quality
Target 97%Warning 93%50+ DAX5 tables PRO-03 $149% of annual procurement savings target delivered
Target 100%Warning 85%50+ DAX5 tables PRO-06 $149% of volume from sustainably certified suppliers
Target 95%Warning 70%50+ DAX5 tables PRO-07 $149% of food ingredient suppliers with GFSI certification
Target 100%Warning 85%50+ DAX5 tables PRO-08 $149% of order lines within agreed lead time
Target 95%Warning 87%50+ DAX5 tables PRO-10 $149% of total spend under formal contract
Target 95%Warning 85%50+ DAX5 tables PRO-11 $149% of purchase orders classified as emergency
Target 3%Warning 9%50+ DAX5 tables PRO-12 $149% of critical SKUs with single source supply
Target 15%Warning 35%50+ DAX5 tables PRO-13 $149% of critical suppliers with business continuity plans
Target 90%Warning 80%50+ DAX5 tables PRO-16 $149% of spend with top 3 suppliers
Target 40%Warning 55%50+ DAX5 tables PRO-17 $149% of year-1 savings maintained in year 2
Target 90%Warning 65%50+ DAX5 tables PRO-18 $149Actual commodity cost vs budgeted commodity cost
Target 100%Warning 105%50+ DAX5 tables PRO-21 $149% of spend outside approved procurement channels
Target 5%Warning 12%50+ DAX5 tables PRO-22 $149% of spend categories with formal sourcing strategy
Target 80%Warning 60%50+ DAX5 tables PRO-24 $149% of suppliers signed up to CoC requirements
Target 95%Warning 78%50+ DAX5 tables PRO-25 $149% of supplier quality issues with formal corrective action
Target 95%Warning 80%50+ DAX5 tables% of total revenue from new product launches
Target 20%Warning 10%50+ DAX5 tables COM-14 $149% of customers lost in the period
Target 8%Warning 16%50+ DAX4 tables COM-21 $149% of SKUs meeting minimum volume threshold
Target 85%Warning 70%50+ DAX4 tables COM-22 $149Actual volume sold vs budgeted volume
Target 100%Warning 92%50+ DAX7 tables% of total waste diverted from landfill
Target 95%Warning 80%50+ DAX6 tables ESG-12 $149% of packaging made from recycled materials
Target 50%Warning 40%50+ DAX5 tables ESG-15 $149% of raw materials from certified sustainable sources
Target 70%Warning 50%50+ DAX5 tables ESG-18 $149% difference in average pay between male and female employees
Target 5%Warning 12%50+ DAX6 tablesRate of lost time injuries per million hours worked
Target 0.5Warning 2.7550+ DAX5 tables HR-02 $149Rate of all recordable incidents per 200,000 hours
Target 1.5Warning 3.2550+ DAX5 tables HR-04 $149Actual headcount vs budgeted headcount
Target 100%Warning 95%50+ DAX6 tables HR-07 $149% of employees leaving per year
Target 15%Warning 27.5%50+ DAX6 tables HR-08 $149% of employees voluntarily leaving
Target 10%Warning 20%50+ DAX6 tables HR-09 $149% of new hires leaving within 12 months
Target 20%Warning 35%50+ DAX6 tables HR-10 $149% of scheduled working days lost to absence
Target 3%Warning 5%50+ DAX6 tables HR-19 $149Overtime hours as % of total hours worked
Target 5%Warning 10%50+ DAX6 tables HR-21 $149Near miss and observation reports per employee per month
Target 1Warning 0.550+ DAX6 tables HR-23 $149Average training hours per employee per year
Target 20Warning 1250+ DAX6 tables HR-24 $149LTIFR for contractor workforce
Target 2Warning 450+ DAX5 tablesDon’t see your KPI in the list?