MatchPacks: Best Execution for Collectibles
How MatchPacks group, score, and rank inventory matches — giving sellers the best execution path for every buyer request.
The Problem with Manual Matching
Every collectible shop with an active buyer list faces the same bottleneck: matching requests to inventory. The typical process involves cross-referencing spreadsheets, eyeballing TCGplayer listings, or scrolling through Shopify admin looking for matches.
This is slow, error-prone, and does not scale. A shop processing 50 requests per week can spend 15-20 hours on matching alone. Worse, manual matching misses partial matches, condition-based matches, and cross-category opportunities.
How MatchPacks Work
When a buyer request enters CollectIQ, the MatchRun engine automatically scans your connected inventory. It evaluates every item against the request criteria: player name, card name, set, year, condition, grading, and price range.
Results are not returned as a flat list. Instead, they are grouped into MatchPacks — scored, ranked sets of matches organized by relevance, condition tier, and price proximity. Each MatchPack includes a confidence score and a recommended action.
A single buyer request might generate multiple MatchPacks: one for exact matches, one for near-matches (different condition or set), and one for related items the buyer might also want. This gives sellers options for how to respond — not just "here is one card that kinda matches."
Best Execution, Not Just Matching
The concept of "best execution" comes from financial markets: for any given order, find the optimal fill considering price, speed, and certainty. MatchPacks apply this thinking to collectibles.
Instead of showing sellers every possible match and forcing them to sort through noise, MatchPacks present the best execution path. The top-ranked MatchPack represents the highest-confidence, highest-value response a seller can send.
Over time, the MatchRun engine learns from outcomes. Accepted offers improve scoring for similar matches. Rejected offers signal that the engine should adjust. The TradeGraph captures all of this, making every MatchPack better than the last.
Real-World Impact
Shops using MatchPacks report 90% reduction in manual matching time and 30-40% more matches found per request. The grouped, scored format means sellers spend minutes reviewing instead of hours searching.
For buyers, the experience improves too. Responses are faster, more relevant, and include options they would not have seen from a manual search. This drives higher acceptance rates and repeat demand — which feeds back into the TradeGraph.
Getting Started
MatchPacks are available on all CollectIQ plans. Connect your inventory source (Shopify, CSV, or manual), enable MatchRuns, and every incoming request automatically generates MatchPacks ready for review.
Visit your portal dashboard or read the API docs to start building MatchPacks into your workflow.