Join the first cross-store recommendation network for ecommerce. AI discovers complementary partner stores, cross-refers products, and earns you commission on every network sale — automatically.
More stores join, better signals flow, better recommendations get — creating a data flywheel that improves for every member.
Automatically detects complementary stores using catalog embedding similarity — a fashion store is matched with an accessories store, a kitchen store with a gourmet food shop.
Earn 12% commission on every sale driven by your cross-store recommendations. Split fairly: 41.7% to source store, 41.7% to platform, 16.6% to target store.
Three-signal affinity: catalog similarity via vector embeddings, category overlap via Jaccard index, and historical referral conversion rates — blended into a composite score.
Report bad actors, flag low-quality stores, and manage your partner list. Network scores factor in store quality, response rates, and complaint history.
Partnerships with high conversion rates are automatically boosted in recommendation rankings. Underperforming partners are deprioritized — no manual tuning needed.
Track clicks, sales, commissions, and traffic credits across the entire network. See which partners drive the most revenue and which products convert best cross-store.
Toggle network mode on. Your product catalog is analyzed via vector embeddings and category mapping to build your store's network profile.
SellerZoom computes affinity scores between your store and every other network member. Complementary stores (fashion + accessories, kitchen + food) surface automatically.
Your widget starts showing relevant products from partner stores to shoppers who can't find what they need in your catalog. Every click is tracked, every purchase earns commission.
Single-store recommendation engines hit a ceiling: they can only recommend products from one catalog. When a shopper on a running shoe store is also looking for running socks, GPS watches, or hydration packs, the store either stocks those items or loses the sale entirely.
SellerZoom's Network Intelligence solves this by connecting complementary stores into a recommendation network. When your store doesn't have what the shopper needs, AI seamlessly surfaces relevant products from partner stores — and you earn commission on every resulting sale.
Every new store that joins the network improves recommendations for every other member. More products in the index means better semantic matching. More cross-store clicks mean better affinity scores. More conversions mean better ranking signals. This creates a compounding advantage that single-store apps can never match.
Network commissions are split three ways: the referring store (source) gets the largest share for driving the traffic, the platform takes a service fee, and the selling store (target) contributes a small percentage. All commissions are tracked, attributed, and paid out automatically.
The biggest risk in a recommendation network is recommending irrelevant products from partner stores. SellerZoom prevents this with multi-factor affinity scoring. Catalog similarity ensures partner stores sell complementary (not competing) products. Category overlap analysis using Jaccard indexing identifies stores with adjacent but non-overlapping product lines. And referral success tracking means the system learns from real conversion data — partners whose recommendations don't convert naturally fade from prominence.
You also have full control over which stores appear as partners. The Network dashboard shows every matched store with its affinity score, and you can block any store you don't want appearing alongside your products. Most merchants never need to block anyone because the affinity scoring does an excellent job of filtering, but the control is there if needed.
Network Intelligence becomes more valuable as more stores join. More stores means more cross-purchase signals, which means better affinity scoring, which means more relevant cross-store recommendations, which means higher conversion rates, which attracts more stores. Early network members benefit most from this flywheel because they establish strong affinity relationships before the network becomes crowded. The data advantage compounds over time.
Join the cross-store recommendation network and turn every missed product search into a commission-earning referral.
Join the Network — Free