ProcurAiQ classifies every line of spend, watches the commodity markets, models should-cost, optimizes where to buy — landed cost, tariffs and trade policy included — and traces supplier risk across your network on one knowledge graph, then assembles the whole negotiation brief in minutes. The category manager keeps the decision; the AI does the work that used to take days across 35 spreadsheets.
Spend lives in ERPs, spreadsheets and email. By the time it's compiled it's stale — so the cheapest invoice often wins, even when it is the most expensive supplier on true cost, and trade policy lands as a surprise after the award.
The Amplinth loop, tuned to procurement — every answer cited back to the graph, every action human-checkpointed.
Ingest ERP transactions, supplier records, commodity indices, contracts & quality data onto a graph.
Classify spend, forecast prices, predict supplier failure & trace how a shock cascades across your network — graph-native, no black box.
QATC-adjusted rankings, landed-cost-by-origin, price-review-eligible contracts & a fully-assembled negotiation brief, with citations.
The category manager approves classifications, sets targets, selects suppliers and awards — gate-ruled.
Append-only audit of every AI step; QATC & savings ledger.
Category, Spend, Market, Supplier, Cost, Contract, Risk, Simulator, ESG, Quality, Decision and Reporting share one substrate and one BFF — so its signature analytic, QATC, propagates across all of them.
The Category service runs a BERT-based classifier that maps every transaction to a multi-level taxonomy, while the Spend service lands a real-time spend cube and flags anomalies, duplicate invoices and off-contract maverick spend — human override always supported.
The Market service tracks commodity indices and price history, forecasts across 1/3/6/12-month horizons, and raises commodity alerts when a movement crosses a level that should trigger a contract or price review — with news, sentiment and regulatory signals per category.
The Cost service builds index-linked should-cost and clean-sheet models, flags quotes above fair price and decomposes the gap. BPID / QATC — Quality-Adjusted Total Cost — exposes the hidden downstream cost price-only tools can't see and re-weights every supplier scorecard around it.
The Supplier service computes 360° scorecards and watches financial-health and ESG signals through connector-ready feeds (D&B, Experian, EcoVadis), surfacing qualified alternatives before a relationship becomes a liability.
A research agent scans the open market and validates net-new suppliers into the graph as governed entities — with citations — so your shortlist isn't limited to the suppliers you already know.
Set threshold, change, trend, volatility, contract-trigger and forecast alerts — with snooze, acknowledge and multi-channel delivery — so the platform watches the market and tells you when something actually needs a decision.
The insights service composes an RFQ skeleton, supplier letters, stakeholder memos and a full negotiation pack — assembling market evidence, cost breakdowns, alternatives and contract clauses into one brief, in minutes rather than days.
A planner with ~40 grounded handlers streams cited, confidence-tiered answers from the tenant's own graph. An ethics guard refuses unethical questions and a no-data guard returns a plain "not available" rather than inventing a number — every step on an append-only audit trail.
Three capabilities a price-only tool — or a non-graph competitor — structurally can't match. All live in the platform today.
Landed-cost-by-origin optimization. Compare sourcing geographies on fully-loaded landed cost, supply risk and lead time — duties, freight, FX and anti-dumping included — and model reshoring before you commit, ranked decision-grade across countries.
HS-code tariff lookups, tariff-inclusive landed cost, CBAM carbon-border and Section-232 exposure, and reshoring what-ifs — so trade policy is a number in your sourcing decision, not a surprise on the invoice.
Cascade-aware risk on your live relationship graph. Trace how a single supplier or region failure ripples across tiers, expose single points of failure, and stress-test "what-if" scenarios — graph-native, not a dashboard of red dots.
Behind all three sits a geopolitical & regulatory early-warning layer — curated signals on export controls, anti-dumping, CBAM, REACH and EU-ETS, scored for impact on your categories rather than a generic news feed.
ProcurAiQ's BFF, ~20 services and 12+ micro-frontends are wired and running in the cloud today. The headline impact numbers below are targets or modelled worked cases, not realized client results — and are labelled as such.
The cheapest supplier on the invoice can be the most expensive on true cost.
Maturity: platform deployment is Realized (verified in code — services, BFF route table and micro-frontends are wired). Savings, cycle-time, classification accuracy and supplier-failure-warning figures are Target or Modelled until a cleared client baseline exists.
Connect ProcurAiQ to your ERP transactions, supplier records, commodity feeds and contracts. Customize the taxonomy, QATC hidden-cost dimensions and scorecard weights to your categories — the platform is reusable; the domain model is what we tailor. Operate the loop in production, where every classified transaction and approved award sharpens the graph. Your spend, suppliers and contracts run on your data, in your cloud — they never join a pooled market dataset.
Some choices look like gaps until you see why we made them. Here's the straight answer to the four we hear most.
No — and that's deliberate. ProcurAiQ generates the full negotiation brief, playbook and split-of-business scenarios; your team makes the call. We don't let AI negotiate unsupervised with your suppliers.
No. ProcurAiQ runs on your transactions, your suppliers, your contracts — intelligence that's actually about your spend, not a resold generic data corpus.
We're a platform, not a staffing model — but Amplinth carries deep KPMG / ADL / Accenture / Deloitte advisory heritage for the moments you want a human in the room.
No. Every answer is cited, audited, confidence-scored and human-gated — it refuses to guess when the data isn't there, rather than inventing a number.
QATC / Beyond-Price Intelligence prices suppliers on true total cost — a defensible, manufacturing-specific analytic that generic spend dashboards can't claim, propagated across all twelve modules.
ProcurAiQ runs on your data, in your cloud or VPC — your spend, suppliers and contracts never join a shared corpus. One graph connects all twelve modules, not twelve silos, with full data residency by default.
A planner with ~40 grounded handlers, citations and confidence tiers, an ethics guard and a no-data guard that refuses to hallucinate numbers — every step on an append-only audit trail. AI proposes; the category manager approves, gate-ruled through approval chains.
Book a demo on a real category — we'll show you the QATC ranking flip, landed-cost-by-origin with tariffs in the number, the graph-native risk story, and a negotiation brief assembled in minutes, with the EVA case behind it.