Maevder produces category intelligence for product, sourcing, and OEM decisions — reconciling demand signals, availability and inventory evidence, supplier concentration, and import-flow into a single claim-graded readout. Motorized appliances is our first proof vertical.
Maevder produces category intelligence for product, sourcing, and OEM decisions. We reconcile Amazon-visible demand signals, availability and inventory evidence, supplier concentration, and import-flow into a single claim-graded readout — so founders, sourcing teams, and OEM buyers can decide whether to source, launch, invest, or prioritize before the money goes out.
Demand data is everywhere; a claim-graded read that distinguishes what is observed from what is inferred is not. We kept seeing product teams and sourcing teams make expensive decisions on signals that were never cross-checked — apparent category heat that was never reconciled with supply concentration, import trends, or actual availability evidence.
Demand data is everywhere; a claim-graded read that distinguishes what is observed from what is inferred is not. We kept seeing product teams and sourcing teams make expensive decisions on signals that were never cross-checked — apparent category heat that was never reconciled with supply concentration, import trends, or actual availability evidence. The missing piece was not more data. It was a rigorous reconciliation that ends in one actionable call, with every load-bearing input labelled by confidence level.
So that is what we built: a structured reconciliation across four signals — demand flow, availability story, supplier evidence, and import-cadence anchoring — that ends in a Promote, Watch, Hold, or Reject call with stated confidence.
Demand flow, availability story, supplier evidence, and import-cadence anchoring — each graded directional, hypothesis-grade, or decision-grade before it enters the reconciliation.
Maevder's reconciliation methodology was developed and tested on real product categories to identify where demand, availability, supplier, and import-flow evidence agree, conflict, or remain incomplete.
Every read is reviewed before it reaches you. Automated signals are inputs to a human reconciliation — they are never the output.
We read demand as inventory depletion flow (BSR velocity), availability and inventory story, supplier concentration and copyability risk, and import-cadence anchoring. No signal is presented as more confident than the evidence supports.
We read demand as inventory depletion flow (BSR velocity), availability and inventory story, supplier concentration and copyability risk, and import-cadence anchoring. Each signal is graded before it enters the reconciliation — directional evidence is never dressed up as decision-grade.
BSR velocity as inventory depletion rate — how fast the category is draining relative to its replenishment pattern.
Stock depth, buy-box rotation, and availability evidence — separating genuine demand from inventory-constrained rank artifacts.
Supplier concentration and copyability risk — whether the category is contested or dominated by a single-source supplier network.
Import flow timing and volume — cross-checking whether demand signals align with actual replenishment behaviour from origin suppliers.
We surface risks and recommended calls — we do not guarantee outcomes. We state our assumptions and grade our evidence. Inferred is never dressed up as observed. When we work behind a studio, the studio keeps the client.
A category intelligence report is an evidence-graded read, not a market research guarantee, certification, or binding commitment.
Every load-bearing signal carries a confidence label. Inferred is never dressed up as observed. Directional evidence is not presented as decision-grade.
When we work behind a studio or sourcing operation, the studio keeps the client relationship. That boundary is the engagement.
It is a claim-graded reconciliation to review before committing capital.