Measure the Hidden Cost of Fragmented Supply Chain Execution
Execution Fragmentation Cost Calculator
Estimate the hidden tax created by manual handoffs, email-based execution, disconnected point AI tools, ERP-adjacent work, customs documents, invoice keying, ePOD validation and settlement decisions.
ERP records the transaction. Settyl measures the execution work that happens before, between and after those records: approvals, exceptions, documents, follow-ups, disputes and decisions.
Change the values below. The calculator updates instantly. Assumptions are editable.
1. Company Profile
Used to adjust complexity based on ERP environment, industry and tool sprawl.
Executive Outcome Metrics
The sections below show execution fragmentation, operational memory leakage, Settyl autonomy potential and financial ROI upfront. These results update as users change the prerequisites, transaction volumes and assumptions below.
Execution Fragmentation Index
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Operational Memory Leakage
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Settyl Achievable Autonomy Rate
Estimates how much execution workload Lasya AI can complete without manual handoff, based on ERP readiness, partner adoption, document quality, approval rules and exception complexity.
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Document collection, acknowledgement chasing and validation automation.
RFQ handling, quote comparison, PO preparation and supplier follow-ups.
Freight auctions, bookings, tracking, ePOD and exception workflows.
Document checks, broker follow-ups and customs exception coordination.
Invoice keying, freight audit, matching and settlement validation.
CIO / CFO Impact
Estimated ROI from Settyl Lasya AI
ROI is calculated from recoverable execution cost, not from Autonomy Rate alone. Annual Settyl Investment is editable and defaults to USD 25,000.
Baseline source: Settyl illustrative assumption. Replace it with your organization’s fully loaded hourly labor cost. BLS Employer Costs for Employee Compensation defines employer cost per hour using wages and employer-paid benefit costs; APQC process-cost measures include compensation and fringe benefits for contributing FTEs.
Supplier / Partner Management volume considered
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Procurement volume considered
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Logistics volume considered
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Customs / EXIM volume considered
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Finance volume considered
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| Function | Hours lost | Cost |
|---|---|---|
| Supplier / Partner Management | 0 | ₹0 |
| Procurement | 0 | ₹0 |
| Logistics | 0 | ₹0 |
| Customs / EXIM | 0 | ₹0 |
| Finance | 0 | ₹0 |
Note: This is a directional diagnostic model. Validate assumptions with customer baselines, time-and-motion studies, APQC benchmarks, invoice-processing data and internal ERP logs.
Prerequisites & Execution Volume Inputs
These inputs define the company context, supplier ecosystem, sourcing volume, logistics volume, customs workload and finance-settlement workload used to calculate the outcome metrics above.
2. Sourcing and Procurement Volume
Domestic and global sourcing are separated because global sourcing creates more approvals, documents and coordination loops.
Supplier and Partner Management Volume
Measures execution fragmentation created by supplier-network scale, portal non-adoption, document collection, acknowledgement chasing, document review and validation. Portal adoption reduces collection friction, but does not eliminate internal validation effort.
Logistics, EXIM and Customs Volume
EXIM and customs-heavy execution usually creates higher operational memory leakage because decisions are buried in emails, documents and broker interactions.
Finance and Settlement Volume
Finance settlement is the strongest CFO argument because manual invoice keying, freight audit and dispute resolution convert directly into measurable cost.
Configurable Assumptions & Model Controls
These fields control the time-per-activity, acknowledgement effort, document-validation effort, hourly cost and savings-capture assumptions. Keep them visible so buyers can challenge and tune the model.
Configurable Effort & Cost Assumptions
Keep these visible. A serious buyer will trust the calculator more when they can challenge the assumptions.
Benchmark Sources & Assumption Basis
Institutional and industry research used to support the model’s assumption categories.
These sources are used to justify the assumption categories behind the diagnostic. The model does not copy third-party benchmark numbers directly into the score. Settyl should calibrate actual values using customer ERP logs, workflow timestamps, invoice records, freight execution data and time-and-motion studies.
Gartner’s logistics research supports the assumption that logistics execution is often distributed across mainstream technologies and custom systems, creating coordination and integration complexity.
View Gartner sourceMcKinsey’s AI procurement research supports the premise that transactional procurement work can be materially reduced when AI and process redesign are applied together.
View McKinsey sourceAPQC provides procurement benchmark measures, including cost and cycle-time oriented views of purchasing and PO execution. This supports using sourcing events and POs as measurable workload drivers.
View APQC sourceArdent Partners’ ePayables research supports the assumption that invoice processing, exceptions, payment workflows and AP automation are measurable sources of finance operations cost.
View Ardent Partners sourceForrester’s digital workplace guidance supports the assumption that overlapping applications and context switching affect employee productivity and should be assessed in software rationalization.
View Forrester sourceGartner describes supplier information management as addressing error-prone manual onboarding and data collection through automated entry, validation and maintenance. This supports measuring document collection and validation as separate workload drivers.
View Gartner sourceGartner notes that low supplier adoption can make portal deployment and supplier collaboration difficult. This supports separating portal-adopted and non-adopting external partners.
View Gartner sourceAPQC benchmarks active suppliers in the vendor master per procurement FTE and supplier setup cycle time. This supports using supplier count and onboarding workload as operational scale measures.
View APQC sourceThe Hackett Group tracks supplier onboarding portals as a procurement technology and highlights supplier adoption and transaction automation as relevant P2P performance dimensions.
View Hackett sourceAutonomy Rate is derived from the function-wise workload profile, adjusted for portal adoption, ERP landscape, point-tool fragmentation, EXIM intensity, document intensity and integration readiness. It estimates execution workload that Lasya AI can complete without manual handoff.
Proprietary calculation logicFinal scoring should be calibrated using customer-specific data: ERP timestamps, approval logs, email volumes, document touch counts, invoice exceptions, ePOD validations, freight settlement records and workflow audit trails.
Recommended validation methodDisclaimer: Third-party sources are used only to justify assumption categories. They do not endorse Settyl, Lasya AI, or the diagnostic model.
Security & AI governance
Enterprise-grade — and built to be trusted with autonomy.
Lasya acts inside your live operation, so the controls around it matter as much as the capability itself. Settyl is certified and governed to enterprise standard.
Independently audited information-security management — the access governance, data-protection and operational controls enterprise InfoSec teams require before they'll sign.
We follow the NIST AI Risk Management Framework — appropriate controls around AI risk, data privacy, transparency, accountability and human oversight on every agent action.
Lasya co-exists with SAP, Oracle and Dynamics — never replacing them. Your data stays yours, every action is logged and auditable, and a human stays in the loop wherever you set the threshold.
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