Supply-Chain Data Use Cases
In-depth use-case guides: page 16
Methods for using relationship data to answer specific investing and research questions, with real Altsets relationships as worked examples.
Why Relationship Size Alone Can Mislead Supply-Chain Research
Relationship comparison
Why can a smaller relationship be more concentrated than a much larger one?
Compare relationship size with supplier revenue percentage and customer cost percentage to separate absolute scale from relative economic exposure.
How to Build a Supply-Chain Catalyst Calendar for a Stock
Event exposure
How can investors use customer and supplier relationships to decide which external earnings dates, project milestones, product ramps, and regulatory events belong on a stock's catalyst calendar?
Turn economically relevant customer and supplier earnings dates, project milestones, product ramps, regulatory dates, and relationship updates into a stock-specific catalyst calendar.
How to Use Supply-Chain Data to Try to Disprove an Investment Thesis
Network path
How can investors use supplier, customer, and network evidence to search for facts that would falsify an investment thesis instead of only confirming it?
Use supplier, customer, and network evidence as a falsification tool by defining what relationship facts would weaken or contradict a stock thesis before searching for confirmation.
What Supply-Chain Data Adds Beyond Company Filings
Relationship comparison
What can a quantified supply-chain network reveal that company filings often leave anonymous, unconnected, or economically unranked?
Combine company-reported concentration and sourcing disclosures with named, directional relationship data to answer network questions that one-company-at-a-time filings leave unresolved.
How to Find Foreign Stocks Exposed to U.S. Mega-Cap Customers
Geographic exposure
How can investors use supply-chain relationships to discover foreign-listed companies whose revenue depends materially on large U.S. customers that may not appear in a domestic stock screen?
Work outward from large U.S. customers to discover foreign-listed suppliers with measurable revenue dependence, then validate the relationship and map the investable security separately.
Do You Actually Need 20 Years of Supply-Chain History?
Relationship change
Which investment questions can be answered from the current supply-chain network, and when is historical point-in-time relationship data genuinely necessary?
Current relationship data is enough for many portfolio decisions, while historical snapshots become necessary when the question depends on durability, change, backtesting, or what was actually knowable at the time.
How to Use Supply-Chain Data With an LLM Without Hallucinating Exposure
Relationship comparison
How can investors use an LLM or MCP for supply-chain research while preserving relationship direction, missing metrics, dates, and evidence quality?
Ground LLM and MCP research in directional relationship metrics, explicit missing values, dates, source layers, and evidence labels so conversational analysis does not invent precision.
How to Separate Semiconductor Capex Exposure From Product Demand
Event exposure
How can investors separate semiconductor capex exposure from downstream product demand using the same supply-chain network?
Split a semiconductor network into upstream manufacturing suppliers and downstream customers so capex events and demand events are not treated as the same signal.
How Investors Can Use Supply-Chain Data Before Buying a Stock
Relationship comparison
What can quantified supplier and customer relationships reveal before buying an individual stock that sector, geography, and company financials may not show?
Use quantified supplier and customer relationships to add upstream dependency, downstream demand, substitution, geography, and contract checks to individual-stock due diligence.
How to Turn Supply-Chain Data Into Quantitative Stock Factors
Relationship comparison
How can quantitative investors convert point-in-time supplier and customer relationships into cross-sectional stock features without mixing incompatible denominators or introducing look-ahead bias?
Engineer point-in-time customer, supplier, overlap, and network features for systematic equity research while keeping relationship denominators separate and avoiding look-ahead bias.
How Supply-Chain Dependency Can Change a Stock's Position Size
Customer concentration
When two stocks have similar conviction, how can concentrated customer, supplier, or network dependence justify different portfolio weights without turning relationship data into a mechanical sizing formula?
Use concentrated customer, supplier, and network dependencies as an additional portfolio risk input when deciding how much capital to place behind an otherwise attractive stock thesis.
How to Measure Geographic Supplier Exposure
Geographic exposure
How can supply-chain data measure geographic supplier exposure without confusing company country with production location?
Use supplier country and relationship metrics as a first-pass geopolitical screen without confusing company domicile with factory-level exposure.
How to Use Supply-Chain Data When Relationship Metrics Are Missing
Relationship comparison
How should investors use mapped supplier and customer relationships when some edges have no economic metrics?
Separate structural relationships from quantified exposure so missing metrics remain unknown instead of silently becoming zero or false precision.
Why Supplier Revenue Growth Does Not Equal Customer Unit Demand
Demand read-through
How should investors separate supplier pricing, shipment volume, and product mix before using supplier revenue growth as a read-through to a major customer?
Separate price, shipment volume, and product mix before turning supplier revenue growth into a customer-demand read-through, especially in cyclical markets such as memory.
How to Rank Suppliers by Economic Importance
Supplier materiality
How can investors rank a company's suppliers by economic importance instead of treating every supplier equally?
Rank supplier relationships by customer cost share, supplier revenue concentration, or relationship size depending on the research question.