Features explained

Product Research is organized around five capability areas. This page is the map.

Search

  • Guided form — categories, marketplace, fulfillment channel, price band, margin floor, competition filter, custom weights. → Guided search
  • AI chat search — describe the niche in plain English; Claude extracts a structured search request and runs it. → Chat search
  • Filters & weights — change how heavily each sub-score counts toward the composite. → Filters & weights
  • Expand a search — get 50+ results from a previous search (charges 2 credits). → Expanding a search
  • History & re-run — every search is a snapshot you can re-fetch (free) or re-run with fresh data (1 credit). → History & re-run

Score (the heart of the product)

  • SellerScore composite — single 0–100 from six sub-scores. → SellerScore explained
  • Demand sub-score — Search Frequency Rank if available, BSR + Google Trends fallback. → Demand sub-score
  • Margin & profitability — net margin and net profit per unit, with COGS estimate. → Margin & profitability
  • Competition sub-score — review counts, ratings, seller saturation. → Competition sub-score
  • Trend & seasonality — 12-month direction and seasonal shape. → Trend & seasonality
  • Data quality & warnings — when the score should be trusted less. → Data quality

Product detail

  • The detail page — full SellerScore breakdown, listing metadata, links to Amazon. → Product detail page
  • AI brief — a Claude-generated paragraph per product covering opportunity, risks, positioning, and sourcing notes. Cached 48 hours and shared across users to keep cost down. → AI brief
  • Score reasoning — a Claude-generated explanation for why this product scored what it scored. → Score reasoning
  • Add to watchlist — one-tap save with optional notes. → Add to watchlist

AI chat

  • Free-text search — describe what you’re after; AI runs the search. → Starting a chat
  • Intent extraction — how Claude turns English into a structured ProductSearchRequest. → Intent extraction
  • Sessions & history — every conversation persists; re-open later. → Sessions & history
  • Prompts that work well — patterns we’ve seen produce useful searches. → Chat tips

Operate

  • Watchlist — save and revisit. Cached metrics; refreshable. Notes per item. → Watchlist
  • Exports — PDF for sharing, CSV for supplier outreach and spreadsheet work. Async generation; 1-hour file expiry. → Exports
  • Credits — usage-based pricing baked into your Hilal Software plan. → Managing credits
  • Privacy & data — what’s stored, how to delete it, retention policy. → Privacy & data

What’s coming next

Five Coming-soon features are on the roadmap. → Coming soon

  • AutoSearch deep research — iterative, multi-round refinement until convergence.
  • Cross-platform pricing — AliExpress, TikTok Shop, Google Shopping pricing for the same product.
  • Supplier discovery — list of likely suppliers per product, with their pricing.
  • Historical tracking + alerts — BSR/price over time, push when thresholds cross.
  • Saved-research collections + sharing — group searches and watchlist items into shareable projects.

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