Procurement Intelligence / Independent product case
Market 360: Buyer Intelligence Workspace
A buyer should not need to know which subscription, report, or database to search before asking a market question.
How one prototype joined discovery, structured analysis, unstructured evidence, and access routing without hiding where an answer came from.
- My mandate
- AI Product & Portfolio Lead · workflow framing, quality gates, orchestration fit, and handoff
- Verified product evidence
- Delivered a working prototype across the agreed structured and unstructured market-intelligence workflows.
- Buyer workflow design
- Structured + unstructured data
- Evidence-backed synthesis
- MVP handoff
- Primary user
- A category buyer or insight partner preparing a sourcing strategy, market review, or supplier conversation.
- Decision enabled
- Which evidence to trust, what market movement means for the sourcing position, and what the buyer should investigate or negotiate next.
- My mandate
- Turn a fragmented set of market-intelligence requests into a bounded buyer product, prove the key evidence modes, establish quality gates, and define the MVP handoff.
- End to end
- Full bounded workflow scope completed
- Iterative
- Repeated test and refinement
- Two modes
- Data analysis plus report synthesis
Evidence first
What is proven, what I changed, and what remains open.
A 90-second evidence map for hiring review. Synthetic product views explain mechanics; they never count as outcome proof.
- Verified now
- A working buyer-intelligence prototype across subscription discovery, structured price analysis, and source-backed report synthesis.
- Next evidence gate
- Business UAT, normalized enterprise data, operational ownership, and measured decision-cycle value.
User / workflow evidence
Verified recordRequirements showed that buyers needed to discover existing access, retrieve source material, inspect price evidence, compare scenarios, and download a usable brief within one journey.
Product decision
Verified recordI unified three evidence modes without pretending they were technically identical, and made citations, tables, charts, assumptions, and downloads part of the product rather than optional output formatting.
AI / system boundary
Supported synthesisDeterministic filters, calculations, files, and chart rules sit beside AI-assisted retrieval and synthesis; buyers retain source inspection and decision authority.
Evaluation → change
Verified recordFunctional, regression, retrieval, faithfulness, consistency, and human-quality review turned ambiguity, missing ground truth, source inconsistency, and interface limitations into the MVP backlog.
Outcome / boundary
Verified recordThe prototype and handoff direction are evidenced. UAT completion, production use, decision-time reduction, and business impact remain outside the current public record.
AI product decision record
The choices behind the product, architecture, and release gate.
Treat structured analysis and unstructured research as different evidence systems that converge in one buyer decision.
AI fit
Supported synthesisUse an LLM for discovery, report retrieval, synthesis, and explanation; use code for filters, calculations, tables, and charts.
The workflow mixes open-ended research with exact analytical operations that require different reliability models.
Alternative consideredForcing every step through an LLM makes exact analysis less testable; a dashboard-only product loses narrative evidence.
Knowledge & context
Supported synthesisUse hybrid retrieval: structured queries for price data and RAG for approved reports, with citations and assumptions visible.
Tables should be computed from governed fields while prose should resolve to inspectable source passages.
Alternative consideredFlattening both into one vector store would weaken numerical reproducibility and source control.
System architecture
Designed · not yet measuredCompose modality-specific tools inside one guided workflow and expose the capability to the Hub through a stable contract.
The buyer needs one brief, but each evidence mode requires its own execution and failure handling.
Alternative consideredAn agent swarm or premature MCP layer would not solve missing ground truth, provider contracts, or output consistency.
Evaluation & release
Verified recordEvaluate retrieval, calculation regression, faithfulness, cross-output consistency, completeness, and human usability by modality.
A good narrative can disagree with a table, or a correct table can answer the wrong business question.
Alternative consideredA single end-response score cannot localize these failures or support a safe release decision.
Evidence I still need from the private project record3 open items
- 01
Named buyer scenarios and UAT synthesis.
- 02
A dated example of evaluation changing a workflow or output.
- 03
Baseline and post-MVP evidence for research time, reuse, or decision quality.
The product contract
One user moment, carried all the way to a decision.
A tested market-intelligence workspace that unifies subscription discovery, historical price data, reports, comparisons, and source-backed market synthesis.
- 01 / User
- A category buyer or insight partner preparing a sourcing strategy, market review, or supplier conversation.
- 02 / Trigger
- The user needs historical price evidence, current market context, a comparison, or the correct route into an approved subscription.
- 03 / Inputs
- Market or commodity · region and grade · time horizon · comparison lens · requested output
- 04 / Product action
- Decompose intent, route discovery, structured analysis, and report evidence to the right workflow, then reconcile the results with sources and assumptions.
- 05 / Output
- A buyer workspace containing the approved access route, historical table and chart, comparison, cited market context, downloadable evidence, limitations, and follow-up questions.
- 06 / Human decision
- Which evidence to trust, what market movement means for the sourcing position, and what the buyer should investigate or negotiate next.
Customer-grade product walkthrough
See one decision move through the product.
A category buyer needs five years of price history, the latest market context, a comparison, and the correct source access route before a sourcing review.
Translate a broad market request into a decision lens.
The product clarifies category, geography, horizon, and decision before launching a broad evidence scan.
What could change the 2027 price and supply outlook for flexible packaging resin?
Fictional category · North America · 12–18 month planning horizon
How the product handles this state
- 01
Resolve category and geographic scope.
- 02
Identify the decision and scenario horizon.
- 03
Define excluded claims and evidence thresholds.
Decision signals
- Decision
- Set planning postureInform timing, assumptions, and supplier conversations.
- Required signals
- Demand, capacity, costThe scan must cover the market system, not one headline.
- Non-goal
- No price forecastScenarios support decisions without pretending certainty.
Assess how demand, capacity, feedstock, and trade signals could alter the planning posture, with source recency and uncertainty preserved.
- One decision and one planning horizon.
- Signal categories defined before retrieval.
- Forecast language constrained to scenarios.
Scan official statistics, company releases, trade reporting, and specialist market commentary.
Public external evidence · recency, authority, and category relevance recorded
How the product handles this state
- 01
Discover sources across the defined signal taxonomy.
- 02
De-duplicate repeated reporting of one event.
- 03
Score source authority, recency, and decision relevance.
Decision signals
- Demand signal
- MixedEnd-market recovery varies by segment.
- Capacity signal
- Near-term looseSynthetic evidence indicates available regional capacity.
- Feedstock signal
- VolatileRange is wider than the prior planning assumption.
The evidence set now contains distinct signals with their source, date, category, direction, and caveat.
- Repeated articles collapse into one underlying event.
- Low-authority commentary remains visible but excluded from the core view.
- Source freshness is retained with every signal.
Explain the combined demand, capacity, and feedstock story for the planning horizon.
Signal relationships · corroboration · counter-evidence · uncertainty
How the product handles this state
- 01
Cluster evidence by market driver.
- 02
Separate corroboration from copied reporting.
- 03
Express causal relationships as hypotheses, not facts.
Decision signals
- Base signal
- Buyer leverage holdsAvailable capacity offsets uneven demand recovery.
- Pressure signal
- Cost range widensFeedstock volatility increases scenario spread.
- Watch item
- Segment reboundA faster demand recovery would erode the base posture.
The synthetic base case supports continued buyer leverage, but a volatile cost range and uneven segment recovery argue for staged commitments rather than a single-point assumption.
- Evidence supports leverage, not a guaranteed price outcome.
- The largest uncertainty is the timing of demand recovery.
- Feedstock range should enter negotiation scenarios.
Demand recovery timing, regional capacity utilization, and feedstock cost range.
Three synthetic cases · downside, base, and upside pressure
How the product handles this state
- 01
Change one decision-relevant assumption at a time.
- 02
Retain the evidence behind each range.
- 03
Connect each case to a different buyer posture.
Decision signals
- Downside pressure
- Leverage strengthensSlower demand recovery and available capacity.
- Base case
- Stage commitmentsLeverage holds, with a wider feedstock range.
- Upside pressure
- Secure flexibilityFaster demand recovery tightens selected lanes.
Each scenario now has a trigger, procurement posture, and evidence check, allowing the team to update the strategy when the market changes.
- No scenario is labelled as certain.
- Triggers use observable market signals.
- Commercial actions remain reversible where possible.
Base case: stage commitments while buyer leverage remains.
Synthetic selection · category lead approval still required
How the product handles this state
- 01
Prioritize moves by value, reversibility, and timing.
- 02
Link each move to a market trigger.
- 03
Assign monitoring and supplier-dialogue owners.
Decision signals
- Sourcing timing
- Keep competition openPreserve leverage while capacity remains available.
- Commercial design
- Use indexed rangesAvoid treating one feedstock value as fixed.
- Monitoring
- Watch 3 triggersDemand, utilization, and feedstock range.
Maintain competitive tension, stage volume commitments, and use evidence-linked cost ranges until demand and utilization triggers indicate a tighter posture.
- Action is tied to the current market thesis.
- Trigger ownership is explicit.
- The strategy can be revised without restarting the research.
Category leadership and sourcing workstream owners
Synthetic executive brief · source ledger attached
How the product handles this state
- 01
Distill the decision, rationale, and actions.
- 02
Attach evidence and unresolved assumptions.
- 03
Set refresh triggers and accountable owners.
Decision signals
- Decision
- Stage commitmentsIllustrative base-case posture.
- Refresh triggers
- 3 observableDemand, utilization, and feedstock range.
- Approval
- PendingThe product does not approve the category strategy.
The team receives one reviewable package containing the selected posture, evidence, scenarios, actions, caveats, and refresh conditions.
- Executive summary stays short.
- Evidence depth remains inspectable.
- Refresh ownership prevents a static report.
This is a synthetic, public-safe walkthrough. Category names, values, sources, scenarios, and outputs are illustrative and do not represent employer data or measured results.
Showing Frame the market question, step 1 of 6.The complete product
More than a generated answer.
The product earns trust by combining a defined decision contract, inspectable evidence, deterministic controls, AI assistance, and an accountable handoff.
Intent decomposition
Separates subscription discovery, structured price analysis, report retrieval, comparison, and access questions inside one buyer request.
One natural-language question can require several evidence modes and cannot be safely answered by one generic retrieval path.
Access discovery
Identifies whether approved coverage exists and returns the relevant subscription or ownership route.
The product helps a buyer find and use information the organization already has before creating duplicate research.
Structured market analysis
Filters historical evidence by market, region, grade, and period, then produces reviewable tables, comparisons, charts, and downloads.
Calculations and visual outputs stay deterministic, reproducible, and inspectable.
Source-backed synthesis
Retrieves relevant reports and explains market drivers with visible citations and coverage limits.
Narrative context adds why to the price movement without replacing the underlying evidence.
Clarification loop
Requests missing commodity, grade, geography, time range, or comparison context before running the wrong analysis.
Ambiguity becomes a product state rather than a hidden source of inaccurate results.
Consolidated buyer brief
Brings access, data, evidence, visuals, assumptions, and next questions into one response and exportable work product.
The user receives a decision workspace instead of several disconnected search results.
AI operating model
The model assists. The product controls. The human decides.
Separating responsibilities is both a system design and a product leadership choice. It defines what can be tested, what must be reviewed, and where accountability stays.
Protect filters, calculations, comparisons, and downloadable evidence.
- Market, grade, region, and period filters
- Historical data queries
- Comparison and change calculation
- Table, chart, and file generation
Understand intent, retrieve narrative evidence, and synthesize grounded context.
- Request decomposition and routing
- Report retrieval
- Driver and market-context synthesis
- Follow-up question generation
Own commercial context, source choice, and interpretation.
- Confirm the analysis lens
- Inspect citations and assumptions
- Judge sourcing relevance
- Approve the buyer brief and next action
The broken workflow
Subscription discovery, price evidence, and market reports in one buyer workflow
Buyers did not have one place to discover available subscriptions, retrieve historical prices and reports, compare markets, interpret trends, or find the right access path.
Buyers could not reliably see what information was already available.
Subscription ownership, access instructions, historical data, and reports were distributed across providers and teams.
The answer often required both a number and an explanation.
Price histories and comparisons needed structured outputs, while market drivers, capacity, regulation, and freight relied on report evidence.
Fluent synthesis was not enough for a commercial decision.
The interface needed citations, downloadable evidence, visible assumptions, and clear behavior when the user request or source coverage was incomplete.
Product decisions and rationale
Product judgment lives in the choices and boundaries.
These records reconstruct the evidence-backed product logic: direction, competing alternative, rationale, and consequence. They are not presented as verbatim decision minutes.
A single buyer journey with separate routing and quality logic for access, structured data, and report evidence.
- Rejected alternative
- Treat every question as one retrieval-and-generation task.
- Why
- Discovery, deterministic analysis, and unstructured synthesis fail differently and require different acceptance criteria.
- Product consequence
- The product could return one coherent brief while preserving the integrity of each underlying path.
Require or surface commodity, grade, region, period, unit, and comparison assumptions.
- Rejected alternative
- Infer every missing dimension and prioritize conversational speed.
- Why
- A fast chart from the wrong market definition is more dangerous than a short clarification step.
- Product consequence
- Ambiguity became an observable, testable state in the workflow.
Citations, tables, charts, downloads, access routes, and coverage limitations are first-class outputs.
- Rejected alternative
- A polished paragraph with hidden evidence.
- Why
- Buyers need to reuse and challenge the evidence in sourcing work, not simply read an answer.
- Product consequence
- Evaluation extended beyond language quality to artifact correctness and usability.
Use repeated failures to specify normalization, interface, UAT, ownership, and orchestration work for MVP.
- Rejected alternative
- Treat workflow breadth as proof of enterprise readiness.
- Why
- Coverage of several paths exposed operational gaps that only productization and business validation could resolve.
- Product consequence
- The prototype became an investment decision instrument and handoff package.
Evaluation → product change
A failure is useful only when it changes the product.
The prototype completed repeated functional, regression, code-based, model-assisted, and human-supervised evaluation. The public scenario is representative; internal source names, scores, and test volumes remain excluded.
A buyer asks for a five-year price trend without specifying the grade, geography, unit, or whether the comparison should use spot or contract evidence.
- Initial failure
- A fluent answer may route to the wrong dataset, produce an apparently valid chart, and combine narrative evidence from a different market definition.
- Designed control
- Introduce a required clarification state, display the resolved query contract, and evaluate structured and unstructured paths separately before synthesis.
- Acceptance test
- The product must ask for the missing dimensions or state the assumptions, then return calculations and reports aligned to the same market definition.
- Acceptance gate
- No consolidated brief is released when the structured query and cited report evidence describe materially different market scopes.
Show five years of price movement for the selected market and region, compare the latest period, explain the major drivers, and provide the approved access route.
- Expected evidence
- The correct subscription record, aligned historical series, the requested comparison period, relevant report passages, and visible source references.
- Expected behavior
- Resolve the query dimensions, calculate and visualize deterministically, retrieve faithful narrative evidence, flag missing coverage, and consolidate both modes without blurring their provenance.
- Release gate
- Structured outputs must match expected values and files; narrative outputs must remain source-aligned, relevant, complete enough for the question, and clear about assumptions.
- 01Query and filter correctness
- 02Calculation fidelity
- 03Chart and file consistency
- 04Report retrieval relevance
- 05Source faithfulness
- 06Cross-mode alignment
- 07Clarification behavior
- 08Buyer usability
My product leadership
From an ambiguous ask to an investable next gate.
Turn a fragmented set of market-intelligence requests into a bounded buyer product, prove the key evidence modes, establish quality gates, and define the MVP handoff.
- Team model
- Matrix partnership across the product owner, category and insight stakeholders, data and source owners, engineering, and AI delivery. This does not imply direct-report management.
- My decision rights
- I shaped workflow scope, routing logic, output contract, quality model, product-owner checkpoints, orchestration fit, and the MVP recommendation; business owners retained adoption and investment accountability.
- Prototype delivery record
- The scale-up record defined source and schema work, productized interface needs, business UAT, operational ownership, orchestration integration, and measurement requirements.
- 01
Mapped scattered request types into one buyer journey and explicitly separated the evidence modes behind it.
- 02
Aligned the team on different test contracts for deterministic calculations, retrieval faithfulness, and synthesized buyer communication.
- 03
Used documented failures to prioritize clarification, source normalization, artifact consistency, and interface work.
- 04
Connected the specialist product to shared Hub capabilities without removing the market-specific semantics and workflows it required.
Value without invented outcomes
Separate what worked from what scale must prove.
The prototype evidence supports product capability. Adoption, ROI, and realized business impact remain separate claims until measured and approved.
Buyers navigate several subscriptions and teams, rebuild historical comparisons, locate reports, copy evidence into separate files, and manually combine the result into a market view.
The prototype completed the agreed access-discovery, structured-data, unstructured-report, comparison, visualization, download, citation, and clarification workflows.
A scaled workspace should reduce duplicated research, increase reuse of approved market evidence, and shorten the path from market question to a reviewable sourcing brief.
- Time to correct source or access route
- Structured-output correction rate
- Citation and report relevance
- Brief revision rate
- Reuse of approved subscriptions
- Time from question to buyer-ready brief
Portfolio leverage
Specialist where it matters. Shared where it scales.
Market taxonomy, subscription access, structured price evidence, and narrative driver analysis create a specialist product contract that cannot be reduced to generic enterprise search.
- Identity and access
- Intent routing
- Retrieval and citations
- Evaluation, observability, and handoff patterns
- Market, grade, region, and period semantics
- Subscription and ownership catalog
- Structured price analysis
- Market-report interpretation and export
Productize and expand only after source schemas, cross-mode alignment, buyer usefulness, and operational ownership pass the MVP gate.
Evidence boundary
Core workflow proven. Scale is a separate product decision.
What exists now
- Working prototype across the agreed structured and unstructured workflows.
- Tables, charts, document retrieval, downloads, citations, and multi-turn clarification.
- Repeated evaluation cycles with manual, code-based, and model-assisted review.
What must become true next
- Normalized source schemas, automated pipelines, and broader report coverage.
- A productized buyer interface, orchestration integration, and operational ownership.
- SME UAT, change planning, and usage / value measurement.
What this case does not imply
- The current evidence supports prototype completion, not sustained production adoption.
- No internal provider names, commodities, reports, prompts, scores, or architecture are published.
Evidence register
The work behind the visible product.
These records map each public claim to the approved requirements, demonstrated workflow, evaluation practice, or prototype-delivery record behind it. They are evidence references, not public copies of protected source files.
Buyer request taxonomy
Discovery, access, price history, reports, comparisons, drivers, visualizations, and follow-up behaviors.
Verified project evidenceThree-path market workspace
Access discovery, structured analysis, and unstructured synthesis combined into one buyer journey.
Public-safe reconstructionEvidence-mode quality model
Separate deterministic, retrieval, synthesis, consistency, and usability gates with documented failure analysis.
Verified project evidencePrototype-to-MVP backlog
Data normalization, product UI, orchestration, UAT, ownership, and measurement work.
Verified project evidenceNext product gate
The remaining work is explicit.
- 01
Productize the buyer workspace and source model
- 02
Validate usefulness and readability with business UAT
- 03
Integrate the specialist workflow into the governed AI hub