Solution · Find Smart
Find Smart — Search and Discovery for Complex Commerce Catalogs
Help customers navigate large, specification-heavy catalogs with configurable nested filters, customer-group visibility controls, and category-specific discovery logic — designed for merchants where platform-default search no longer matches how customers actually shop.
The Problem
Why default storefront search fails merchants with complex catalogs
- Platform-default filters insufficient for specification-heavy products — customers cannot narrow large assortments by the attributes that matter to their purchase decision
- B2B buyer segments seeing the same discovery experience as retail customers — customer-group pricing and product visibility not reflected in search and filter results
- Category-specific filter requirements not supported — a tools catalog requires different discovery logic than a clothing catalog, but default search applies one structure to all
- Large catalog navigation relies on keyword search — customers who don't know exact product names cannot browse effectively
- Filter structures require developer changes — merchandising teams cannot iterate on discovery logic without engineering involvement
- Search performance not connected to conversion reporting — teams cannot identify where discovery friction is reducing purchase completion
Capabilities
What this solution makes possible
Nested Filter Structures
Multi-level filter hierarchies configured without platform limits — enabling precise product narrowing across specification-heavy catalogs with complex attribute relationships.
Customer-Group Visibility Controls
Filter options and product visibility governed by customer segment — B2B buyers, dealers, and retail customers each see discovery experiences matched to their account context.
Category-Specific Logic
Discovery rules configured per category — tools, apparel, industrial, and specialty categories each apply the filter structures and logic relevant to how customers shop that segment.
Large Catalog Performance
Search and filter performance optimized for catalogs with thousands of SKUs — discovery speed maintained as product volume scales.
Merchandiser-Controlled Configuration
Filter structures and discovery rules managed by merchandising teams without developer involvement — enabling rapid iteration on discovery experience.
Headless & BigCommerce Support
Find Smart integrates with both native BigCommerce storefronts and headless commerce architectures — supporting discovery across composable implementation patterns.
How It Works
Operational workflow from end to end
- 01Catalog analyzed — product attributes, customer segments, and category structures mapped to discovery requirements
- 02Filter hierarchies configured — nested structures, customer-group rules, and category-specific logic defined in Find Smart
- 03Discovery experience published — customers navigate catalog using configured filters without engineering deployment
- 04Customer browses with precision — filter selections narrow results based on attributes and account context
- 05Discovery performance captured — search completions, filter usage, and conversion rates surfaced in operational reporting
- 06Merchandising team iterates — filter structures updated based on performance data without developer involvement
Operational AI
Find Smart as the Foundation for AI-Ready Commerce Discovery
Structured discovery data — search patterns, filter usage, abandoned navigation paths — creates the operational intelligence that supports AI-assisted catalog optimization, segment-aware recommendations, and conversion-focused discovery design.
AI-Assisted Discovery Optimization
Search and filter pattern analysis enabling AI-supported recommendations for filter structure improvements — reducing discovery friction and improving catalog conversion rates.
Segment-Aware Intelligence
Customer-group discovery behavior informing AI-assisted catalog segmentation — identifying which product attributes drive engagement across B2B and retail buyer segments.
Navigation Friction Detection
Automated identification of discovery drop-off points — surfacing where filter complexity or missing attributes are reducing purchase completion before conversion impact accumulates.
Why Arizon Digital
Built for operational depth, not surface-level delivery
- Deep commerce catalog and B2B discovery expertise across complex product assortments and multi-segment buyer environments
- AI-enabled delivery accelerating Find Smart implementation and improving post-launch discovery performance
- Founder-led engagement model — senior architects and engineers on every project, not junior handoffs
- Built for catalog complexity — discovery implementations designed for specification-heavy products, dealer catalogs, and multi-segment visibility requirements
- Proven across mid-market B2B and retail commerce enterprises with complex product discovery and catalog navigation requirements
Ready to give your customers discovery that matches your catalog complexity?
Arizon Digital implements Find Smart as part of connected commerce and catalog operations — not as a standalone search upgrade.