Trade-cost clarity for decisions made under pressure
Sparkzville turns messy shipment, product, and tariff data into one decision workspace — so founders, operators, and procurement teams can see tariff exposure, forecast landed cost, and model a smarter sourcing path.
No credit card. Start with the data you already have.
Cost Intelligence Snapshot
Live$612K
Modeled savings opportunity
42
HS codes tracked
High-risk lane: China → U.S. electronics carries +25% additional duty.
Top move: shift 18% of motor sourcing to Vietnam — $63.5K modeled savings.
One workflow from data intake to follow-through
Deterministic trade math under every number, with grounded AI exactly where interpretation helps.
Data intake & readiness
Classify incoming trade files, map your columns, and validate rows. Three starter datasets unlock a usable trade model — no cleanup project required.
Command center
Landed-cost pressure, the top sourcing move, what changed, and the next action to validate — surfaced in one operating view.
Scenario analysis
Compare the current path against a modeled alternative with deterministic trade math. Save the paths worth revisiting.
Supporting data
Drill from any recommendation into the exact shipments, products, and lanes behind it — filterable and paginated.
Trade reports
Freeze the current picture into a durable brief with audience-aware narration for leadership, operations, and procurement.
Workspace Copilot
Ask grounded questions across the workspace. Every answer cites the recommendations, scenarios, and reports it draws from.
One decision engine, four ways in
From a fast tariff-cost read to a governed strategic pilot — pick the entry point that fits your team.
From 3 datasets to the first decision
Upload shipment history
Start with the file that establishes your real operating baseline for landed-cost review.
Connect product + tariff
Add product master and tariff reference so Sparkzville links SKUs, HS codes, and current duty pressure.
Review the top recommendation
Use the command center to see what to evaluate first — and why it matters now.
Test a scenario, create a brief
Pressure-test the strongest path, then turn the result into a report or a grounded Copilot answer.
Without Sparkzville
- Fragmented ERP, broker, and tariff exports
- Spreadsheet reconciliation before any decision
- Tariff surprises discovered after the fact
- No shared, reviewable trade narrative
With Sparkzville
- One workflow from intake to follow-through
- The top sourcing move surfaced automatically
- High-risk lanes and HS codes flagged early
- A stakeholder-ready brief in a click
Six surfaces, one decision rhythm
Each surface moves you from connected data toward a decision you can act on and explain.
Data intake
Start with the files that unlock first value
Shipment history, product context, and tariff reference establish a usable baseline fast.
Command center
See the top decision move first
Landed-cost pressure, recommendation priority, and readiness in one operating view.
Scenario analysis
Compare the current path against the strongest alternative
Pressure-test sourcing and routing tradeoffs before committing.
Alerts & watchpoints
Keep trade thresholds visible between reviews
Signals stay active so the team knows what to follow through on next.
Reports
Turn the current picture into a durable brief
Stakeholder-ready snapshots that preserve the exposure story and modeled opportunity.
Copilot & trust
Use AI where interpretation helps most
Grounded answers with citations, while deterministic trade math stays the final authority.
For the people who carry the trade decision together
Founder / COO
The trade picture without building a trade department
Clear priority, financial relevance, a briefing to reuse in leadership conversations.
Procurement / sourcing lead
A practical way to compare sourcing and routing tradeoffs
Scenario comparison, recommendation confidence, and which assumptions still need validation.
Operator / analyst
Less time cleaning inputs and explaining what changed
Faster intake, clearer next actions, grounded explanations tied to live state.
Finance / leadership reviewer
A trade story that's financially relevant and easy to reuse
Savings opportunity, risk exposure, and a recommendation that carries into planning.
What teams get from Sparkzville
12–18%
Potential landed-cost reduction in modeled sourcing shifts
< 48 hrs
To surface high-risk lanes and priority HS codes
1 view
For tariff exposure, savings, and operational tradeoffs
AI should speed up the workflow without weakening confidence
Deterministic trade math stays the source of truth. AI explains it — it never invents it.
Deterministic trade math
Landed-cost, tariff, and scenario calculations run on a tested engine — never handed to a black-box model.
Grounded answers
Copilot answers from current workspace state with citations, not generic trade claims.
Reviewable actions
Risky suggestions stay visible for human review before anything becomes an operating decision.
Safe fallbacks
The workspace keeps operating even when AI is unavailable, narrowed, or turned off for a surface.
See your trade picture in one workspace
Start with the data you already have. Get to a reviewable sourcing decision fast.