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01 · Enterprise

Intelligent Supply Sensing

Problem —
COE managers couldn’t see risk beyond tier-one suppliers, so disruptions surfaced only after hitting production.
Solved by —
An AI/ML platform that scores risk across every supplier tier and carries each alert through to a closed case.
Impact —
COE managers can spot, investigate, and mitigate supply risk before it disrupts operations.
Role
Sole UX/UI Designer
Client
Deloitte (end client under NDA)
Deliverables
Research, Information architecture, Wireframes, Journey maps, Interactive prototype
Prototype ↗

Process

  1. 01Discover

    Turned a year of consultant research, SME input, and COE manager interviews into the critical data points behind every risk decision.

  2. 02Define

    Ran a product-thinking workshop on COE managers’ jobs-to-be-done, cutting scope to only the features that prevent disruption.

  3. 03Design

    Prototyped the full loop—risk dashboard, AI-scored alerts, exposure maps, and case management—so every alert leads to an action.

  4. 04Test

    Client demos walked the flow from risk alert to closed case, driving sub-domain risk views, advanced filtering, case metrics, and alert onboarding.

Key decisions

Dashboard, alert selected
ISS dashboard with a Security alert selected: supply-path lines on a world map, supplier detail panel, alert and case lists.
  1. AFive risk domains scored up front, so managers see where exposure is rising before opening a report
  2. BCreate case sits on every supplier, turning an alert into a tracked mitigation in one step
  3. CAlert detail opens beside the map, so triage never loses sight of the network
  4. DSupply paths drawn from the alert back to home show how far a disruption could travel
Default state, supplier list
ISS dashboard default state: world map with risk-factor pins and a supplier list ranked by risk score.
  1. AFilters added after client demos narrow a global network to the suppliers that need attention now
  2. BSuppliers ranked by risk, with network centrality beside each score to show who the network depends on most
  3. CRisk-type icons on every pin let managers read the kind of threat before the details
Exposure map, radial view
ISS exposure map in radial view: concentric tier rings with the alerted supplier flagged near the home node.
  1. ARadial and stacked views toggle in place: one shows scale, the other dependency chains
  2. BConcentric rings place suppliers by tier, so cascading exposure reads as distance from home
  3. CThe alerted supplier is flagged in place, showing exactly which tiers it touches
Exposure map, stacked tiers
ISS exposure map in stacked tier view: Tier 1 to 3 bands with AutoValves Inc. outlined in red.
  1. ATiers stack into bands, making each dependency chain traceable from raw supplier to home
  2. BThe alerted supplier is outlined in red within its tier, so impact analysis starts at the source
  3. CThe home node anchors every path, answering the core question: how does this reach us?
Supplier detail, scrolled
ISS supplier detail panel: risk scores by domain, a trend chart with projection, a Tier 2 supplier table and an exposure summary.
  1. AThe security score is flagged where the alert originates, tying the warning to its evidence
  2. BProjected risk extends as a dashed line, so managers can act before the score peaks
  3. CTier 2 suppliers ranked by risk and centrality expose hidden dependencies one level down
  4. DExposure summarized in plain language, ready to share with stakeholders without interpretation

What research showed

  • 01

    Risk hidden beyond tier one made disruptions impossible to anticipate; managers needed visibility across the whole network.

  • 02

    Consolidating data from many sources by hand led to oversights and delays, so analysis had to happen for them.

  • 03

    Mitigation stalled on fragmented communication and missing guidance, so cases needed a structured, shared path.

Outcomes

  • 6 months

    Zero to MVP as the sole designer, alongside a PM and SMEs

  • Early warning

    AI/ML risk scoring across every tier turned reactive firefighting into proactive mitigation

  • Continuity

    Disruptions contained before they reach production and operations, strengthening supply chain resilience