Commerce Knowledge Graph

Every system and channel. One connected graph.

Not a data warehouse you migrate to — a living graph built from your existing systems, carrying the context no single one of them has alone.

GENERAL TRADEECOMMERCE
Hover or tap a node
A layer on top, not a replacement

We don't replace your systems. We reason across them.

The graph traverses your systems of record — ERP, CRM, loyalty, WMS — reads across all of them and writes results back. Nothing to migrate. Nothing to rip out.

Commerce Knowledge Graph — one live map across your systems
ERPFinance · inventory
CRMCustomers · history
LoyaltyTiers · schemes
PIMCatalog
WMSStock · fulfilment
OMSOrders
TMSTransport
DMSDistributor
Reads across all of them, writes results back — your systems of record stay exactly where they are.
What's in the graph

Everything the graph knows.

It connects what you sell with who you sell to — product truth on one side, customer behaviour on the other, joined into a single map.

Product Knowledge Graph

Everything true about what you sell.
SKU taxonomy & enriched attributes
Scheme terms & regulatory flags
Substitution logic & pricing rules
Canonical product identity

Customer Knowledge Graph

Everything you know about who you sell to.
Retailer buying patterns & history
Distributor behaviour & credit cycles
Field-agent visit records & outlet profiles
Order anomaly & fraud signals
Joined into one map, they answer what neither could alone — the right product, to the right customer, on terms that protect your margin.
Why it's not a database

A database stores rows.
A graph stores what connects them.

A database built to track Verma's orders can't tell you whether Verma qualifies for a credit waiver — those are different tables, different teams, different tickets. The graph already holds both. Same question, zero new joins.

Database

A question you planned for.

To answer "should we approve Verma's credit order?", a developer wrote five table joins — before you ever got the question. Different question, different schema.
customersJOINordersJOINdefect_log
credit_limitsJOINscheme_rules
= 5 joins — written before the question arrived
Accurate — but only for questions someone anticipated.
Living graph

A question you didn't plan for.

The connections already live in the graph. One traversal across ERP, CRM, and loyalty — no join written in advance.
VermaCUSTOMER · CRM
Gold tier + defect
Open defectORDER · ERP
scheme eligibility
Waiver unlockedLOYALTY
Agent reads the path — and applies your rule
The graph assembles the connected context. Your agents decide what to do with it.
The depth ladder

One question. A sharper answer as your systems connect.

A disconnected database looks up one thing at a time. A connected graph reasons across all of it in one pass — and that's the answer that grows revenue.

Live reasoning

Select each rung to go one level deeper
Incoming — WhatsApp
"Bhavani Electricals wants 500 units of the 32A MCB on credit, delivered Friday. Do we confirm?"

It can even recognise the same customer across IDs and channels — so revenue leakage and true demand become visible.

BhavaniCUSTOMER StockWMS CreditERP SchemeLOYALTY 500 available $6k over limit unlocks limit reorders monthly Confirm order+$18k recovered
Accurate · faster · cheaper

Don't trade accuracy for cost.

Here's how you know an answer is right: understand the question → pull the verified facts and check them against your business rules → answer, and show the receipts.

More accurate

Agents answer from your verified, joined facts — not the open internet. Fewer hallucinations, answers grounded in what's true in your business.

Faster and cheaper

under 200ms·60% fewer tokens

The graph hands the model the exact slice it needs, not your whole dataset every query. Fewer tokens, lower cost, faster answers — a line item at enterprise query volumes.

Consistent

The same joined truth behind every channel and agent, so answers don't contradict across surfaces.

Enterprise trust

Built for the systems you're accountable for.

Permissions-aware access

Every answer respects who's asking — the graph only surfaces what a user is cleared to see.

Encrypted & private

Encrypted end to end, and your data never trains shared models. Your commerce stays yours.

Flexible deployment

Run it in cloud, private cloud, or your own enterprise environment — no change to the platform.

Governance & audit

Auditability and policy enforcement built in, so every action is traceable and controlled.

The graph is the memory. The agents are the muscle.

The graph is the memory and the reasoning. The agents that act on it are built in the Graas Agent Foundry.

Explore the Agent Foundry →

See what your systems look like, joined.

We'll map the Commerce Knowledge Graph onto your ERP, CRM, loyalty and WMS — and show where connected reasoning turns into revenue.