Intelligent product search, recommendations, and matching algorithms for B2B procurement.
AI enhances B2B search through natural language understanding (find products by description), synonym and specification matching, visual search for parts identification, personalized results based on buyer history, intelligent recommendations for complementary products, and supplier matching for RFQs. These capabilities help procurement teams find the right products faster.
Beyond keyword matching:
Natural Language: - Query understanding - Intent recognition - Synonym handling - Specification parsing - Unit conversion - Industry terminology
Search Features: - Autocomplete suggestions - Did you mean corrections - Related searches - Filter recommendations - Voice search support
Results Quality: - Relevance scoring - Popularity weighting - Personalization - A/B testing - Performance monitoring
Finding products by image:
Use Cases: - Part identification - Replacement finding - Similar product search - Quality comparison - Damage assessment
Technology: - Image recognition - Feature extraction - Similarity matching - OCR for part numbers - Barcode/QR scanning
Implementation: - Mobile camera integration - Image upload - Crop and enhance - Multiple angle support - Result ranking
Intelligent product suggestions:
Recommendation Types: - Frequently bought together - Customers also viewed - Based on order history - Category bestsellers - New arrivals - Back in stock
Personalization: - Buyer preferences - Purchase history - Browse behavior - Industry segment - Budget patterns
Context-Aware: - Order context suggestions - Reorder reminders - Seasonal recommendations - Inventory-based suggestions
Connecting buyers with right sellers:
Matching Criteria: - Product specifications - Price requirements - Location and logistics - Certification requirements - Capacity and MOQ - Delivery timelines
Scoring: - Capability match - Performance history - Price competitiveness - Relationship strength - Compliance status
RFQ Routing: - Automatic supplier selection - Bid invitation - Response tracking - Comparison tools
Structured product exploration:
Facet Types: - Category hierarchy - Specifications - Brand/manufacturer - Price ranges - Availability - Certifications
Dynamic Facets: - Context-sensitive options - Count displays - Range sliders - Multi-select - Facet dependencies
UX Optimization: - Facet ordering - Collapse/expand - Clear filters - Save filter sets - Mobile adaptation
Improving search performance:
Metrics: - Search volume - Zero result queries - Click-through rates - Conversion rates - Search refinements
Optimization: - Query analysis - Synonym expansion - Content improvement - Facet tuning - Ranking adjustments
Insights: - Trending searches - Demand signals - Content gaps - User behavior patterns
Based in Bangalore, we build B2B marketplace platforms for distributors, manufacturers, and enterprise procurement teams across India.
We understand B2B buying cycles, RFQ processes, credit management, and the relationship-driven nature of wholesale commerce.
Deep experience integrating with Indian ERPs (Tally), SAP, Oracle, and other enterprise systems for seamless data flow.
We build intelligence into the platform from the start—for smarter procurement, supplier matching, and decision support.
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002