Product Summary

PALZAAR required a B2B procurement intelligence platform to help buyers and vendors overcome fragmented purchasing data, manual SKU comparisons, limited supplier visibility, and missed sourcing opportunities.
smartData proposed a buyer-vendor collaboration platform that connects procurement data, normalizes purchase history, enables catalog search, compares historical purchases with vendor products, and provides analytics-driven sourcing insights.
Phase 2 extends the platform with AI-powered product substitution, universal product ingestion, canonical product mapping, discontinued SKU routing, confidence-based matching, and inventory-aware recommendations.
The solution creates a scalable procurement decision intelligence platform that helps organizations optimize sourcing, reduce manual effort, identify better-value alternatives, and improve buyer-vendor collaboration.

Features

• Buyer Data Connection & Purchase Analytics : Connects Amazon Business/API or CSV data to normalize purchase history, spend, units, categories, and supplier trends
• Unified Catalog Search & Product Comparison: Allows buyers to search vendor catalogs and compare historical purchases with available vendor products side by side
• AI Product Matching & Recommendations: Suggests better-value, substitute, or equivalent products using demand signals, pricing, margin potential, and match confidence
• Vendor Dashboard & Opportunity Insights : Gives vendors visibility into buyer demand, sales trends, inventory gaps, competitive opportunities, and product positioning
• Substitution & Discontinued SKU Intelligence : Detects unavailable or discontinued SKUs and routes buyers to active, in-stock alternatives using confidence-based matching

Technical Challenges

• Fragmented buyer and vendor data sources : Built ingestion pipelines for Amazon Business/API, vendor catalogs, CSV uploads, and Microsoft Business Central to normalize procurement data into a unified schema
• Accurate SKU and product matching across vendors : Implemented canonical product mapping using ASIN, GTIN, UPC/EAN, MPN, brand, title, and fuzzy/entity resolution logic
• Substitution when exact product matches are unavailable : Designed vector-based similarity scoring to recommend equivalent or alternative products with confidence percentages and category-based thresholds
• Discontinued SKU and unavailable product routing : Added logic to detect inactive SKUs and reroute buyers toward active, in-stock substitutes that meet approved confidence levels
• Procurement auditability and decision traceability : Maintained audit logs, match history, reviewer actions, exports, sync health, user activity, and versioned rationale for sourcing decisions