Industries

Every sector loses money in different places. The professional knowledge already knows where.

MARGINT arrives with the role's knowledge for each sector: which metrics matter, how to calculate them and against which benchmark. That knowledge keeps growing, from research, standards and published benchmarks. These are the sectors we work in today.

Our focus sectors

For each sector: the loss points that repeat in almost every organization, and an example finding the system raises on demo data.

Manufacturing

Plants where every hour of downtime and every percent of scrap go straight to the bottom line.

Where the money goes

  • Unplanned downtime that repeats the same failure
  • Line output eroding slowly, with nobody tracking the trend
  • Raw-material scrap above the industry standard
  • Suppliers that are consistently late and throw planning off
Example on demo data
Example finding
$510K
output lost to unplanned downtime on line 2 in the last 12 months
Why41 stoppages, 63% of them the same recurring failure in one component.
This weekTargeted preventive maintenance for that component, instead of a repair after every failure.
SourceDowntime_Log.csv, Production_Output.csv

Food & Beverage

Expiry dates, batches and seasonality turn every inventory mistake into money thrown away.

Where the money goes

  • Write-offs from expiry, concentrated in a few SKUs
  • Inventory cover longer than shelf life
  • Filling lines running below industry efficiency
  • Planning gaps in peak seasons
Example on demo data
Example finding
$230K
written off to expiry in the last 12 months, most of it in three SKUs
WhyAverage inventory of 54 days against a shelf life of 60. No room for error.
This weekLower the stock target for the three SKUs and order more often.
SourceInventory_Snapshot.csv, Write_Offs.csv

Retail

Across dozens of stores, a small gap on the shelf becomes a large loss once you multiply it.

Where the money goes

  • Out-of-stocks on exactly the best-selling SKUs
  • Slow inventory tying up shelf space and cash
  • Shrink concentrated in specific stores
  • Labor hours out of step with selling hours
Example on demo data
Example finding
$640K
sales lost to out-of-stocks across the 15 largest stores
WhyIn the top 120 SKUs, 7% of trading hours had no stock on the shelf.
This weekChange the reorder point for those 120 SKUs in those stores.
SourcePOS_Sales.csv, Store_Inventory.csv

Transportation & Fleet

When the main asset moves on the road, every idle hour and every extra liter counts.

Where the money goes

  • Overtime concentrated in a few routes or shifts
  • Fleet utilization below standard, unnoticed
  • Fuel consumption out of line for specific vehicles or drivers
  • Maintenance that arrives too late and costs more
Example on demo data
Example finding
$295K
excess overtime in the last 12 months
Why18% of shifts exceeded the standard, and the excess is concentrated in two routes.
This weekRe-plan the two routes by actual load.
SourceDriver_Shifts.csv, Payroll_Export.csv

And beyond

The professional knowledge is built in sector layers, and a new layer is added when we enter a new sector. Among the existing layers:

  • Logistics & Distribution
  • Pharma
  • Chemicals
  • Automotive
  • Energy
  • Mining
  • Shipping
  • Infrastructure
  • Healthcare
  • Telecom
  • Banking
  • Insurance

Your sector is not on the list? Talk to us. If you have operational data in files, there is probably money to find.

Want to know where the money is in your operation?

An intro session, with no commitment and no data needed at this stage.

Book a session