Sparkzville
Features

One workflow from data intake to follow-through

Sparkzville keeps deterministic trade math under every number, and uses grounded AI exactly where interpretation helps — not as a black box.

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.

Product tour

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.

Put it to work on your own data

Connect a few starter datasets and see your first recommendation.