Cases · Proven results
15–30%

Bottom-line performance improvement, delivered over a two-year period.

Retail FMCG Distribution Manufacturing eCommerce
BOTTOM-LINE INDEX · 24 MONTHS
With Procreo Baseline
Illustrative trajectory. Hover to explore.
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01 — Outcomes

What changes when finance can see ahead.

Supreme data maturity

Jump from siloed to augmented, predictive and prescriptive data, with zero upfront investment or capability building.

Near-term profit enhancement

Make profit visible along the value chain in near real time, with cost recommendations per transaction and pricing per item.

Finance function efficiency

General-purpose ML use cases cut the time spent on cost allocation, performance reporting, BI visualization and insight generation.

02 — Case studies

What the data revealed.

Each case is labelled by evidence type: an identified opportunity, a retrospective analysis or a modelled scenario. Client names are withheld.

CASE A · NORTH AMERICA

45 days to a +4% net profit opportunity

Medical equipment distributor
+4%estimated net-profit opportunity over a quarterIdentified opportunity
CHALLENGE

Delayed financial reporting, summarized invoices and insufficient allocation of direct and shared costs left product and customer profitability unclear.

WHAT PROCREO DID

Rebuilt revenue and P&L at invoice-line level from Sage, recalculated COGS from weighted-average inventory cost, allocated freight by SKU and weighted G&A by operational drivers.

FINDINGS
→Orders below $10,000 were loss-making
→55% of products (103 items) were loss-making
→Specific customer × category × transport combinations underperformed
→Pricing and service contracts flagged for review
CASE B · UAE

The biggest store wasn’t the most profitable

Fashion distribution group
AED 444kavoidable losses had underperformers been caught earlierRetrospective analysis
CHALLENGE

Fragmented SKU histories across seasons and manufacturers, duplicated product IDs, incomplete supplier and store records, and unclear COGS.

WHAT PROCREO DID

Data profiling and cleaning, forecasting and cost allocation across stores, seasons and manufacturers.

FINDINGS
→The highest-revenue store was not the most profitable
→Some seasonal ranges turned unprofitable after about five months
→Manufacturer economics varied sharply
→12% of manufacturers generated 100.4% of profit
CASE C · MENA · PROOF OF CONCEPT, 2019

From −7.4% to +2.1% modelled net margin

Distribution group
12optimization levers in the modelled scenarioScenario analysis
CHALLENGE

Leadership needed a multi-perspective view of profitability drivers across vendors, salespeople and products.

WHAT PROCREO DID

A three-month pilot covering profitability drivers, vendor / salesperson / product analysis, price recommendations and scenario simulation.

FINDINGS
→Multi-perspective vendor, salesperson and product analysis
→Price recommendations at item level
→12 optimization levers identified and simulated
03 — Industries

Built for your industry.

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TYPICAL DIMENSIONS
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