Case Examples

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Case Examples

See what ValueChaser produces. Company Diagnostics examples are real analyses of publicly filed data. Procurement examples show what the platform delivers from spend data.

Company Diagnostics

Full diagnostic reports generated from publicly available annual filings (10-K / annual reports). Each report includes financial health scoring, trend analysis, competitive positioning, and strategic recommendations.

Company Diagnostics

$960M Industrial Equipment Manufacturer

Manufacturing — Industrial Equipment · Annual revenue ~$960M · 36-page report

Uploaded

Single 10-K annual filing (PDF). Publicly available via SEC EDGAR.

Analyzed

3 years of financial data extracted and validated. Benchmarked against industrial equipment peers across 14 performance dimensions.

Delivered

36-page diagnostic report with Business Health Score of 58/100, value creation roadmap identifying $227M in opportunities, and editable Excel data model.

Key Findings

  • SG&A expenses at 22.6% of revenue versus 16% industry median — $63.6M annual optimization opportunity with 9-month payback
  • $226.9M total value creation identified across 5 strategic initiatives including margin recovery, working capital optimization, and portfolio rationalization
  • Gross margin declined from 38.8% to 35.3% over 3 years driven by acquisition integration costs — clear path to recovery identified
Company Diagnostics

$2.8B Healthcare & Diagnostics Company

Healthcare — In Vitro Diagnostics · $2.8B revenue · Health Score 54/100 (C-)

Uploaded

10-K annual filing for a NASDAQ-listed diagnostics company. Income statement, balance sheet, and competitive landscape data.

Analyzed

Revenue quality, margin disconnect (strong EBITDA vs. catastrophic net losses), competitive positioning against Abbott & Roche, and 5 strategic value-creation opportunities.

Delivered

Full diagnostic report with health score 54/100, $3.6B in identified strategic value, SWOT analysis, 90-day action plan, and editable Excel data model with 9 analytical tabs.

Key Findings

  • Massive profitability disconnect — EBITDA of $892M (31.9% margin) yet catastrophic net losses of -$2.1B, indicating severe structural cost issues below the EBITDA line
  • $2.4B emergency restructuring opportunity identified — achieving industry-median 13% net margin on existing $2.8B revenue base with 6-month payback
  • Over-reliance on respiratory rapid tests facing post-pandemic normalization — $350M diversification opportunity into cardiac biomarkers and autoimmune testing

Procurement Categorization

Turn raw, messy spend data into a clean, categorized dataset using Industry taxonomy or UNSPSC. Procurement data is always proprietary — see examples of what the platform produces from your raw spend file.

Procurement Categorization

$56.8B EU Utilities Procurement Portfolio

Energy & Utilities — Power · 200,000 transactions · 179 suppliers · Categorization Rate 100/100

Uploaded

200,000 spend transactions across a European power utility covering conductors & cables, substation equipment, civil works, MRO, and IT spend categories.

Analyzed

100% categorization rate achieved. 179 suppliers normalized, 16 UNSPSC Family-level categories classified, with full dimensional breakdown across 899 cost centers, 5 locations, and 4 project codes.

Delivered

Full spend categorization report with UNSPSC commodity codes, supplier intelligence, dimensional coverage analysis, and industry benchmark comparison. Includes Excel workbook and categorized CSV ready for ERP/Ariba import.

Key Findings

  • Electrical wire & cable dominates at 65% of spend ($36.97B) — top 5 categories account for 91% of total spend with Nexans, Prysmian, and NKT as key suppliers
  • Balanced supplier base: top 10 suppliers account for 46% of spend across 179 normalized vendors — healthy diversification for a capital-intensive utility
  • 100% of 200,000 transactions classified to UNSPSC Family level with commodity codes — CSV ready for direct Ariba/SAP integration via vc_l4_code column
Procurement Categorization

$74.2B Construction Materials Procurement Portfolio

Manufacturing — Construction · 200,000 transactions · 176 suppliers · Categorization Rate 100/100

Uploaded

200,000 spend transactions across a construction materials business covering subcontractor services, raw materials, site work, steel & metals, aggregates, and indirect spend categories.

Analyzed

100% categorization rate achieved. 176 suppliers normalized, 17 ValueChaser Industry Taxonomy categories classified, with spend benchmarked against Construction industry norms across 9 category levers.

Delivered

Full spend categorization report with direct/indirect split, category benchmark comparison, supplier intelligence, and dimensional breakdown across 899 cost centers and 5 locations. Includes Excel workbook and categorized CSV ready for ERP import.

Key Findings

  • Subcontractor Services accounts for 36.3% of spend ($26.93B) — over-indexed vs. 22% industry benchmark by +14.3pp, flagging consolidation and preferred supplier opportunity
  • Direct spend dominates at 84% ($62.33B) across core construction categories — Raw Materials, Site Work, and Steel & Metals collectively represent 40% of total portfolio
  • All 200,000 transactions classified at High confidence — zero uncategorized rows, dataset is import-ready for ERP/P2P systems or direct upload to ValueChaser Procurement Insights

Procurement Insights

Savings analysis, supplier intelligence, and category-level recommendations generated from categorized spend data. Examples are anonymized — procurement data is always proprietary.

Procurement Insights

€6.54B EU Utilities Materials Procurement Portfolio

Energy & Utilities · 20,000 transactions · 108 suppliers · Procurement Health Score 66/100

Uploaded

20,000 spend transactions across multi-currency operations (EUR + GBP). Raw AP extract covering MRO, grid infrastructure, MEP systems, subcontractor services, and conductors & cables.

Analyzed

74.4% categorization rate achieved. 108 suppliers normalized across 10 spend categories, and 35 category-level savings levers identified across MRO consolidation, MEP systems optimization, and commercial restructuring.

Delivered

Full procurement intelligence report with Procurement Health Score of 66/100, €392M–€654M in identified savings (11.1% of addressable spend), supplier negotiation playbooks, category toolkits, and editable Excel data model.

Key Findings

  • €392M–€654M in annualized savings identified across 35 category-level levers — 11.1% of addressable spend spanning MRO consolidation, commercial optimization, and supplier rationalization
  • Supplier concentration risk flagged (HHI index of 34) with top 5 suppliers each holding 5%+ of total spend — diversification strategies and multi-vendor agreements recommended
  • MRO spend fragmented across 10+ distributors representing 20% of total spend — distributor consolidation and e-procurement catalog implementation targeting 15% savings each
Procurement Insights

$31.43B US Healthcare Procurement Portfolio

Healthcare & Life Sciences · 100,000 transactions · 35 suppliers · Procurement Health Score 85/100

Uploaded

100,000 AP transactions across facilities operations, analytical & testing services, consulting, IT services, recruitment & talent, medical supplies, and diagnostic equipment spend categories.

Analyzed

93.0% categorization rate achieved. 35 suppliers normalized across 8 spend categories, and 35 category-level savings levers identified. PHS score of 85/100 (Optimized) with top quartile data quality, supplier management, process efficiency, and contract discipline.

Delivered

Full procurement intelligence report with Procurement Health Score of 85/100, $943M–$1.89B in identified savings (6% of addressable spend), supplier negotiation playbooks, category toolkits, and editable Excel data model.

Key Findings

  • $943M–$1.89B in annualized savings identified across 35 category-level levers — spanning facilities optimization, lab consolidation, and commercial restructuring
  • PHS score of 85/100 (Optimized) with Working Capital the primary gap — 39% of transactions paying over 60 days, targeting reduction to 30–45 day range to improve supplier relationships and cash flow
  • Facilities Operations ($6.35B) and Analytical & Testing Services ($6.28B) represent 40% of total spend — energy management system optimization and test utilization management identified as top two savings priorities

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How long does the analysis take?
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Your Insights Report and supporting Excel file(s) is delivered within 10 minutes of submitting your data. This applies across all current and future products on the platform.

What do I need to provide?
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It depends on the product. For Company Diagnostics, the minimum is audited financial statements or 10-K filings. You can also include sales pipeline data, vendor spend data, inventory reports, and operational metrics for the past 24–36 months for deeper insights. For Procurement Categorization and Procurement Insights, upload your raw AP or spend data. The platform automatically assesses your upload for completeness and accuracy, and provides a data quality score before proceeding.

How accurate are the recommendations?
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Every recommendation is generated from analysis of your actual data, combined with proprietary industry benchmarks and domain-specific knowledge. ROI estimates are conservative and grounded in proven implementation results. All outputs are fully auditable and transparent— every insight is traceable back to the source data. No black box.

Is there a Human-in-the-loop?
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The report generation workflow is fully automated for speed and consistency. However, human expertise is embedded throughout the platform design: industry benchmarks and domain knowledge are curated by subject matter experts, and all prompts have been designed and validated by experienced practitioners. A monitoring layer evaluates confidence scores and flags anomalies — if an insight falls below quality thresholds, it is escalated for human review. Outputs are audited regularly by domain experts to maintain quality.

How is this different from using a large language model?
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A standalone LLM produces general-purpose text.The ValueChaser AI Platform orchestrates multiple AI models integrated with proprietary industry knowledge, domain-specific agents, and curated benchmarks to produce structured, auditable business intelligence. Our patent-pending process delivers deterministic, function-specific outputs — not open-ended AI responses. Every report follows a consistent analytical framework with traceable recommendations, editable Excel model(s), and executive-ready formatting. It is complete automation from raw data to finished deliverable.

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Yes. At ValueChaser.ai, safeguarding client data is our top priority. The platform runs on SOC 2 Type II compliant infrastructure with AES-256 encryption at rest, TLS 1.2+ in transit, and GDPR-aligned data handling practices. All files are encrypted during upload, stored with strict access controls, and transmitted to our processing platform via encrypted API calls. Your data is never used for model training and is never shared with third parties.
For one-time users, uploaded files and processing data are retained for 3 days after report delivery to allow for rerun requests, then permanently deleted. For subscription clients, raw uploaded data is retained for 30 days to support reruns and review, then permanently deleted. Failed or incomplete jobs are purged within 3 days. You may request immediate deletion of your files at any time by contacting support@valuechaser.ai.

What if my data is not good enough for reliable insights?
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You only pay if your data passes quality checks. When you upload your data, the platform automatically runs a validation for completeness and accuracy, and generates a data quality score. If the data is incomplete, you will be shown exactly what is missing so you can correct and resubmit. If it meets the threshold, you proceed to your payment (for one-off users) or credit-deduction (for subscribers) followed by generation of the report.

As a CPA or Private Equity Operations leader or an Advisory Firm leader, I want to run this for my clients/ portfolio. Is there an enterprise discount?
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Yes — our Subscription plans are built for exactly this. They include multi-user team access, pre-loaded credit bundles at volume discounts (up to 18% off per-report pricing), report history, and isolated tenant hosting. See our Pricing page for Small, Medium, and Large plan details, or go directly to the Subscription Inquire at www.valuechaser.ai/subscribe to get started.

When will the new products be available for other use cases?
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The platform is designed around distinct use-case products, each addressing a different analytical need. We regularly release new products based on demand signals from operators, clients, and users — each developed with domain experts and curated reference knowledge. Visit our Products page for the current lineup and upcoming roadmap, or contact us to discuss co-development of new use cases.

I like the insights generated by the platform. I need more help from industry experts to discuss the insights and plan actions
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Yes. ValueChaser.ai subscribers get access to a qualified and vetted network of industry practitioners. We can introduce you to domain experts who will help you interpret insights, prioritize recommendations, and build implementation plans. Contact us at member@valuechaser.ai

What if I don't see value?
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We stand behind the quality of our analysis. If you are not satisfied with the output of your Insights Report, send us a note at member@valuechaser.ai and we will work with you to address your concerns.You can also start with a free Pilot to evaluate the platform before making any investment.