Supplier B
Recommended- Available capacity
- 3,000 kg
- Price difference
- +2.3%
- Historical reliability
- 97%
- Compatibility
- High
Supplier Intelligence
Know which suppliersyou can actually rely on.
INVO combines purchasing, delivery, quality, price and production data to measure real supplier performance, predict delivery risk and support better sourcing decisions.
- Purchase requirement
- 8,000 kg
- Material
- Aluminum 6061 bar
- Required delivery
- 14 August · 06:00
Supplier A
Overall risk: High
- Price
- $5.50/kg
- On-time delivery
- 81%
- Predicted delay risk
- 38%
- Quality score
- 94%
Supplier B
Overall risk: Low
- Price
- $5.60/kg
- On-time delivery
- 97%
- Predicted delay risk
- 6%
- Quality score
- 98%
AI recommendationSupplier B
- Additional purchase cost
- +$1,000
- Lower expected delivery risk
- −32 pp
Price is only part of the cost
The lowest price is not alwaysthe lowest real cost.
A cheaper supplier can turn out more expensive once deliveries run late, quantities come up short, quality varies or production has to react at the last minute.
Supplier A
$5.50/kg
Purchase price
Supplier B
$5.60/kg
Purchase price
At first glance Supplier A saves $0.10/kg.
On time
Supplier A 81%
Supplier B 97%
Average delay
Supplier A 7.4 h
Supplier B 1.1 h
Fill rate
Supplier A 94%
Supplier B 99%
Rejected quantity
Supplier A 2.8%
Supplier B 0.4%
Emergency purchases triggered
Supplier A 14
Supplier B 2
Measure the cost of supplier performance — not only the purchase price.
True supply cost
The cheapest purchase orderis not always the cheapest supply decision.
Supplier A Purchase price $44,000
Expected supply cost $47,400
- Emergency purchasing
- +$1,300
- Rejected materials
- +$800
- Operational handling
- +$400
- Expected disruption exposure
- +$900
Supplier B Purchase price $44,800
Expected supply cost $45,400
- Additional expected costs
- +$600
Additional costs are shown only where the data allows them to be modeled meaningfully.
Supplier 360
Every supplier.One operational history.
Supplier A
Trend: −6 pts
78 / 100
Overall risk: High
Price
82 / 100
Average price vs market −2.4%
Delivery
71 / 100
On-time delivery · average delay 81% · 7.4 h
Fill rate
88 / 100
Ordered vs delivered 94.2%
Quality
91 / 100
Quantity accepted 97.2%
Claims
74 / 100
Claims in the last 90 days 8
Stability
69 / 100
Price / lead-time variability High
INVO builds the score from real transactions and deliveries — not from subjective supplier ratings.
Supplier scoring
Compare suppliers on the factorsthat matter to your business.
Different materials need different sourcing priorities. INVO can score suppliers against configurable business criteria instead of one universal ranking.
Weights
- Price25%
- On-time delivery25%
- Quality20%
- Fill rate15%
- Lead-time stability10%
- Claims5%
Weighted score
Supplier A
80
Supplier B Recommended
92
Supplier C
84
Predictive supplier risk
Don't only measure what happened.Predict what may happen next.
- Supplier
- Supplier A
- Material
- Aluminum 6061 bar
- Quantity
- 8,000 kg
- Required
- 14 August · 06:00
AI forecast
On-time probability
62%
- Predicted arrival
- 08:30–12:00
- 14 August
- Expected fill rate
- 94–97%
- Quality risk
- Medium
Overall PO riskHigh
Why?
Deteriorating supplier performance
On-time performance fell from 96% to 78% over the last 30 days.
Large order vs typical volume
8,000 kg is 2.3× this supplier's median delivery for this material.
Recent lead-time variability
Delivery windows spread across 5.5 h on recent orders.
3 delays in the last 5 deliveries
A repeating pattern, not a single incident.
Management by exception
Focus on the suppliers and ordersthat need attention.
Instead of reviewing 200 suppliers, the buyer sees only the cases where the data changed.
8need attentionof 214 active suppliers
- Critical
Supplier A
- On-time performance
- 96% → 78%
- Context
- last 30 days
- Exposure
- $51k of purchases
Unusual deterioration in delivery performance.
Review supplier
- Warning
Supplier C
- Average purchase price
- +11.4% in 6 weeks
- Context
- Category benchmark: +3.2%
- Exposure
- Price anomaly
Price anomaly against the category trend.
Review price list
- Warning
Supplier D
- Rejected quantity
- 0.8% → 4.7%
- Context
- last 45 days
- Exposure
- Quality deterioration
Quality deterioration in recent deliveries.
Review deliveries
- Normal
Supplier B
- Performance
- Within expected range
- Context
- —
- Exposure
- —
No action required.
From requirement to sourcing decision
Know what to buy —and who should deliver it.
Demand & Purchasing determines the material requirement. Supplier Intelligence determines who should deliver it, and at what risk.
Supplier A
$5.50/kg
Risk: High
Supplier B
$5.60/kg
Risk: Low
Supplier C
$5.55/kg
Risk: Medium
Recommended sourcing
6,000 kg2,000 kg
- Supplier B
- Supplier C
- Expected cost
- $44,700
- Expected service level
- 98%
Sourcing split optimization
The system does not have to recommend a single supplier. It can propose a split — 70% / 30%, for example — when the split gives a better balance between cost, risk, production capacity and availability.
Supplier alternatives
When risk rises,know your alternatives immediately.
Primary supplier
Supplier A
- Risk
- High
- Expected shortage
- 2,400 kg
Supplier C
- Available capacity
- 5,000 kg
- Price difference
- −0.4%
- Historical reliability
- 82%
- Compatibility
- Medium
Supplier D
Not eligible
No approved specification.
INVO can limit recommendations to approved suppliers and approved material specifications.
How it works
Every purchase order makesthe supplier model smarter.
- 01
We collect supplier performance
The INVO data warehouse combines:
- Purchase orders
- Prices
- Confirmed dates
- Actual deliveries
- Ordered vs delivered quantity
- Quality inspections
- Claims and returns
- Emergency purchases
- 02
We compare plan with reality
Promised
06:00
Delivered
11:20
Ordered
8,000 kg
Accepted
7,420 kg
Previous price
$5.25
Price
$5.50
- 03
We predict future performance
- On-time probability
- 62%
- Expected fill rate
- 95%
- Quality risk
- Medium
RecommendationConsider Supplier B
Models & technology
Different models answerdifferent supplier questions.
ERP + Purchasing + WMS + Quality → INVO Data Warehouse → AI models
01
Delivery risk
Will the order arrive on time?
The model compares a new order with the history of previous deliveries and the conditions in which they were fulfilled.
- supplier
- material
- order size
- weekday
- requested lead time
- historical delays
On-time probability62%
Gradient Boosting · Classification Models
02
Expected delivery
When is it likely to arrive?
Based on previous deliveries, the system predicts the realistic lead time instead of the confirmed one.
- confirmed date
- historical lead times
- route
- order size
Confirmed 06:00Predicted 08:30–12:00
Regression · Probabilistic Models
03
Anomaly detection
Is supplier performance changing unexpectedly?
The model looks for unusual shifts: price up, delay up, fill rate down, quality down.
- price
- delay
- fill rate
- quality
SignalPerformance differs from the historical pattern
Anomaly Detection
04
Supplier recommendation
Which supplier best fits this purchase?
An optimization layer compares commercial and operational constraints for the specific order.
- price
- risk
- capacity
- MOQ
- lead time
- quality
- approved status
RecommendedSupplier B
Optimization Algorithms
Ask your supply data
Ask questions about suppliersin plain language.
- Which carbon fiber suppliers had the most delays in the last 90 days?
- Why did Supplier A's score decrease?
- Compare Supplier A and Supplier B for aluminum bar.
- Show suppliers whose prices rose more than 8% while delivery performance fell.
- Which supplier creates the most emergency purchases?
Supplier A
- On-time delivery
- −14 pp
- Average price
- +7.8%
- Claims
- +4
Most significant change
Delivery reliability
The language layer is an interface to your supply data — supplier scoring itself stays in the models.
Business impact
Better supplier decisions cut riskthat reaches well beyond purchase price.
- Supply reliability ↑
Fewer unexpected delivery problems
Identify high-risk purchase orders and suppliers earlier.
- Emergency purchases ↓
Less last-minute sourcing
React before a late delivery reaches production.
- Quality risk ↓
See deteriorating supplier quality sooner
Track the real quality of each delivery.
- Purchase cost ↓
Compare price with actual supplier performance
Make buying decisions on a fuller picture of cost.
- Buyer time ↓
Manage suppliers by exception
The buyer focuses on the suppliers and orders that need a response.
- Negotiating position ↑
Negotiate on real performance data
Price, on-time, fill rate, claims and quality history in one place.
The values and scenarios on this page are illustrative for production at $14–55M revenue scale — they are not a declared result.
Explore Demand & PurchasingSupplier Intelligence
Choose suppliers on what they actually deliver,not on what they promise.
See how INVO combines purchasing, delivery, quality and production data to measure real supplier performance, predict risk and support better sourcing decisions.