Autonomous AI discovery built for marketplaces.
Run an autonomous AI discovery on your supply, demand, fulfillment, and review data — find the seller concentration risk, the hub-and-spoke imbalance, and the satisfaction-masked retention gap, before the next ops review.
Built for VPs of Marketplace, Heads of Seller Growth, Heads of Demand, and COOs at two-sided platforms.
Supply, demand, fulfillment, reviews — read both sides at once.
Marketplace dashboards split the world cleanly: a supply view, a demand view, a take-rate report. The patterns worth catching — where take-rate is leaking, why GMV moved, and which seller cohorts are quietly accelerating — live across all of them. DecisionBox runs them overnight. The agent decides what to investigate, writes the queries, validates every number against your data, and ships ranked findings that reconcile to the deck both sides of the business sign off on.
See how every number gets checkedThe patterns hiding between supply and demand are the ones costing the take-rate.
Three benchmarks marketplace operators are quietly paying right now. Each one points to the same gap: the data already has the answer; nobody has the bandwidth to read both sides at once. Every quarter of waiting compounds into GMV you don’t recover.
Three findings, three actions, one overnight pass.
Three pairs the agent surfaced in real marketplace discoveries. Each finding ships with a numbered recommendation attached — not a chatbot you have to drive. See how the autonomous discovery loop produces ranked, validated outputs.
Each pair above is from a real DecisionBox run. Source data is anonymized for the public site.
See the supply concentration tightening and the buyer cohort drifting flat, before your next ops review.
For two-sided platforms, vertical marketplaces, and managed networks — all at once.
Same engine, same data, different analysis areas. Pick the surface that matters this quarter.
Where supply is short, where demand is unanswered.
The supply dashboard shows total sellers. The demand dashboard shows total searches. Neither shows the geography or category where the two don’t match. The agent reads both sides against each other and flags the imbalance — the same shape of finding that drives growth-opportunity discovery.
- Demand-to-seller ratio by region and category
- Search-to-listing match rate by query intent
- Cross-state and cross-border fulfillment imbalance
- Category-level supply gaps masked by category averages
- New-seller onboarding throughput vs incoming demand
Built for marketplace teams who need to read both sides at once.
Three things every ops review surfaces. Every DecisionBox deployment ships with all three.
Sees what nobody had time to look for
You’ll see findings the team didn’t have bandwidth to pull. The agent decides what to investigate; you review. Not a chatbot you drive — a ranked backlog of supply gaps, take-rate drifts, and cohort breaks you didn’t have to write.
Every number you’d defend in an ops review
Every claim re-queried against your data before it ships. Every SQL query and reasoning step is logged and visible — the kind of paper trail supply, demand, and finance all expect before trusting a number in next Monday’s deck.
Your data stays with you
Your credentials never leave your environment. The agent reads what’s already there; nothing exfiltrates. Every query and decision is logged for the team that has to defend the numbers downstream.