AI Deep Search — Supplier Discovery Engine
SupplyHub
Cutting sourcing time from 3 weeks to 2 hours with agent-powered supplier intelligence.
Overview
Project Overview
SupplyHub, a leading procurement platform serving Fortune 500 enterprises, needed to transform their legacy supplier discovery process. Their existing workflow relied on manual database searches, industry directories, and lengthy RFI cycles that took an average of 3 weeks per sourcing event.
Agiliztech built an agent-powered supplier discovery engine that scans global data sources, validates vendor credentials, and surfaces qualified matches instantly — reducing sourcing time from 3 weeks to just 2 hours.
Industry
Procurement & Supply Chain
Timeline
12 weeks
Tech Stack
The Challenge
What problems needed solving?
Manual Sourcing Bottleneck
Procurement teams spent 60+ hours per sourcing event manually searching databases, trade directories, and industry portals to identify potential suppliers.
Inconsistent Vendor Qualification
Vendor vetting was subjective and inconsistent, relying on individual analyst judgment rather than standardized multi-dimensional evaluation criteria.
Fragmented Data Sources
Supplier intelligence was scattered across 15+ disconnected platforms, making it impossible to get a unified view of vendor capabilities and risk profiles.
Slow Time-to-Contract
The end-to-end cycle from requirement definition to vendor shortlist averaged 21 days, causing missed market opportunities and inflated costs.
The Solution
How Agiliztech delivered results
Multi-Agent Discovery Framework
Deployed specialized AI agents that simultaneously scan global databases, company registries, trade platforms, and news sources to identify matching suppliers in real time.
Automated Vendor Scoring Engine
Built a multi-dimensional scoring model that evaluates suppliers across 40+ criteria including financial health, compliance certifications, capacity, and geographic coverage.
Unified Intelligence Layer
Created a centralized data fabric that aggregates, deduplicates, and normalizes supplier data from all sources into a single searchable knowledge graph.
Natural Language Sourcing Interface
Enabled procurement teams to describe requirements in plain English, which agents translate into structured search queries across all integrated data sources.
The Benefits
Measurable business impact
95%
Sourcing Speed
Reduction in supplier discovery time — from 3 weeks to 2 hours per event.
92%
Match Quality
Of AI-surfaced suppliers passed full qualification review, up from 35% with manual search.
$2.4M
Cost Savings
Annual savings through faster cycles, better matches, and reduced procurement overhead.
4x
Team Productivity
Increase in sourcing events handled per analyst, freeing capacity for strategic negotiations.
Connect with us
Have a business challenge, exploring Agentic AI, or ready to transform your business. We are here!