Free Assessment

Supply Chain AI
Readiness Check.

20 questions across 5 SCOR-DS domains. Built from the doctoral research framework validated against 30+ real agentic AI deployments. Takes about 4 minutes.

Section 1 of 5 — SOURCE Question 1 of 20
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SOURCE — Procurement
Supplier invoicing, approval workflows, performance data, and procurement taxonomy
Question 01 · SOURCE
How do you currently receive the majority of your supplier invoices?
A
PDF / Paper (>50%)
B
Mixed (Portal + PDF)
C
EDI / XML (>80%)
N/A
Not applicable to our operation
Question 02 · SOURCE
How are invoices approved for payment?
A
Human approval required for each invoice
B
Auto-match rules handle the majority
N/A
Not applicable to our operation
Question 03 · SOURCE
How frequently is supplier performance data updated?
A
Episodic — annual or quarterly reviews
B
Continuous — real-time data feed
N/A
Not applicable to our operation
Question 04 · SOURCE
How is your procurement data categorized across business units?
A
Different taxonomy per business unit
B
Single global taxonomy across all BUs
N/A
Not applicable to our operation
Question 05 · PLAN
What percentage of the system-generated forecast is manually overridden by planners?
A
High — planners override more than 50% of system output
B
Medium — overrides in the 10–50% range
C
Low — fewer than 10% of forecasts are manually changed
N/A
We don't use system-generated forecasting
Question 06 · PLAN
What data sources feed your demand forecast?
A
Historical sales data only
B
POS + external signals (weather, social, promotions)
N/A
Not applicable to our operation
Question 07 · PLAN
What acts as the "source of truth" during your S&OP meetings?
A
Spreadsheets or PowerPoint decks
B
Integrated planning system with live data
N/A
We don't run a formal S&OP process
Question 08 · PLAN
What is the primary objective of your S&OP process?
A
Alignment — getting functions on the same page
B
Optimization — driving hard dollar trade-off decisions
N/A
Not applicable to our operation
Question 09 · PLAN
Do regional managers keep "safety stock" that is invisible to central planning?
A
Yes — informal buffers are common and expected
B
No — inventory is fully visible to central planning
N/A
We don't have regional / centralized structure
Question 10 · MAKE
Do you use cameras or visual sensors for quality assurance?
A
No — quality checks are manual / inspector-based
B
Yes — cameras or visual sensors installed on the line
N/A
We don't have manufacturing operations
Question 11 · MAKE
How is a product defect defined on the line?
A
Inspector judgment — subjective, person-dependent
B
Rule-based — objective, measurable thresholds (e.g. >2mm)
N/A
Not applicable to our operation
Question 12 · MAKE
What percentage of your critical machinery is equipped with IoT sensors?
A
Low — fewer than 10% of critical machines have sensors
B
High — more than 80% of critical machines are instrumented
N/A
Not applicable to our operation
Question 13 · MAKE
How do maintenance technicians react to system-generated alerts?
A
Technicians trust their instinct over the system
B
Technicians trust and act on data-driven alerts
N/A
We don't have maintenance operations
Question 14 · MAKE
If your lead scheduler calls in sick, what happens to the production plan?
A
Tribal knowledge — a specific person holds the plan in their head
B
System-generated — plan runs independently of any individual
N/A
Not applicable to our operation
Question 15 · DELIVER
How do your drivers perceive GPS and telematics tracking?
A
Surveillance — drivers view it as monitoring and control
B
Safety tool — drivers trust and embrace the technology
N/A
We don't operate our own fleet
Question 16 · DELIVER
Can you re-route a delivery vehicle after it has left the depot?
A
No — routes are fixed once a vehicle departs
B
Yes — dynamic re-routing is fully supported
N/A
We use third-party logistics / don't control routing
Question 17 · RETURN
When do you know what items are in a return shipment?
A
Unknown until the shipment physically arrives
B
Pre-authorized ASN — we know before it arrives
N/A
We don't handle product returns
Question 18 · RETURN
How is the condition of a returned item recorded?
A
Visual inspection / paper-based recording
B
Scan or digital entry — structured, consistent data
N/A
Not applicable to our operation
Question 19 · RETURN
Do you have a risk score for customer return behavior?
A
No — no historical tracking of customer return patterns
B
Yes — customers have a calculated return risk score
N/A
Not applicable to our operation
Question 20 · RETURN
How does your risk team handle supply chain disruption alerts?
A
Reactive — team responds after disruptions are already felt
B
Proactive — AI or data systems flag risk before impact
N/A
We don't have a formal risk monitoring function
⚡
Assessment complete. Enter your details below to unlock your personalized SCOR-DS readiness report with domain-level scores and recommendations.
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Your report is ready.
Based on your 20 answers, we've calculated your readiness score across all 5 SCOR-DS domains and identified your highest-priority gaps. Enter your details to see the full breakdown.
Overall readiness score with SCOR-DS domain breakdown
Your weakest domain identified with specific gap analysis
3 prioritized recommendations matched to your answers
Suggested next step based on your readiness level

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Your Progress
SOURCE
4 questions
PLAN
5 questions
MAKE
5 questions
DELIVER
2 questions
RETURN
4 questions
About This Assessment
30+
Real AI deployments validated against
SCOR-DS
SOURCE · PLAN · MAKE · DELIVER · RETURN

Each question maps to a readiness dimension from doctoral research. Results show domain-level scores so you know exactly where gaps exist.