AI · Blockchain · ERP

Intelligent systems for modern enterprise.

Intellitics Technologies designs AI platforms, permissioned blockchain networks, and ERP systems that turn complex operations into trusted, automated workflows.

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Predictive AI Permissioned ledgers ERP + WMS + TMS

AI Engine
Live inference

Ledger
Verified proof

ERP Core
System of record

What we build

Three capabilities. One operating advantage.

Intelligence

AI Solutions

Models, copilots, document intelligence, and forecasting inside live operations.

Custom ML and AI copilots
Process and document automation
Demand, risk, and ops forecasting

Trust

Blockchain Solutions

Permissioned networks, smart contracts, and proofs partners and auditors can trust.

Fabric, Besu, and consortium design
Traceability and audit-ready records
Identity and ERP adapters

Operations

ERP Solutions

Finance, inventory, people, and customers on one core — with AI and chain where they belong.

Implementation and modernization
Finance, HR, CRM, supply chain
WMS / TMS integration

AI + Blockchain

How the integration works

ERP events feed the AI layer. Policy decides what may proceed. Only approved outcomes are written to a permissioned ledger, then posted back to ERP.

1. ERP event

Invoice, shipment, PO, or lot record is captured.

2. AI decides

Models extract, forecast, or score risk.

3. Chain seals it

Hash, policy ID, and model version go on-chain.

4. Trusted action

Payment, release, or recall pack executes in ERP.

Reference architecture

How AI, blockchain, and ERP connect.

Sources stay systems of record. Intelligence recommends. The permissioned network stores proofs, not personal files.

Supply chain integration

Patterns that connect ERP, WMS, TMS, AI, and the ledger.

Use EDI at the partner edge, APIs for immediate checks, events for milestones, and a permissioned chain only for proofs several firms must share.

Topology

Hub, not a mesh

Point-to-point works for two systems and fails at five. Each system connects once to an integration fabric that maps order, shipment, lot, and invoice.

Transport

EDI + API + events

850/856/810 for retailers and carriers. APIs for ATP and serial checks. Kafka or webhooks for `shipment.departed` consumed by ERP, portals, AI, and the ledger adapter.

Reliability

Outbox, saga, replay

Commit the business row and the event together. Compensate if ERP posts and the chain does not. Idempotent keys stop duplicate proofs.

Who owns which fact

System	Owns	Typical events
ERP / finance	Orders, POs, invoices, valued stock	sales_order.created, po.released, invoice.posted
WMS	Picks, packs, lots, warehouse qty	pick.confirmed, asn.created, inventory.adjusted
TMS	Loads, tenders, freight cost	load.tendered, in_transit, delivered
MES / IoT	Batches, temperature, machine state	batch.complete, temp.breach
Permissioned chain	Shared proofs	lot.handed_off, invoice.hash.sealed
AI	Scores and extracts	fraud.score, doc.extracted, eta.predicted

Process patterns we implement

Order-to-ship: ERP → WMS pick → TMS load → ASN
Procure-to-receive: PO → ASN → putaway → GRN / 3-way match
Freight settle: TMS invoice vs ERP accrual
Recall / trace: walk lot and serial events backward
Title / eBL: document custody among carrier, bank, consignee

Ledger as a consumer, not the bus

After policy clears an event, an adapter writes a hash and correlation ID. Certificates stay off-chain. If master data is wrong, no later layer will save the process — so we stabilize IDs and the outbox first.

Where it lands

AI + blockchain in the operating system of the firm.

Finance

Invoice integrity

AI extracts and matches invoices. Approved results are hashed before ERP releases payment.

Supply chain

Lot traceability

Quality checks run in AI. Custody events are signed on a permissioned ledger.

Manufacturing

Attested production

Forecast models consume plant data. Batch releases get a ledger stamp shared with finance.

Trust layer

Permissioned networks, not public chains for PII.

High-stakes actions stay reviewable. Proofs stay useful in an audit. Personal data stays off-chain.

On-chain vs off-chain

On-chain: event ID, hash, timestamp, approver role, model version, policy ID.

Off-chain: invoices, IDs, certificates, model weights, customer PII.

Selected work

Delivery cases

Manufacturing

Predictive replenishment

Shop-floor and inventory signals fed an AI demand model inside ERP.

31%fewer stockouts

18%lower excess stock

Agri supply chain

Farm-to-buyer ledger

Each harvest lot received a signed identity. AI checked quality documents; the chain stored custody events.

100%lot-level trace

4 daysfaster disputes

Finance ops

Invoice integrity and AP

AI extracted invoices and flagged duplicates. Approved invoices were hashed before payment release.

62%less manual AP work

0duplicate payouts after go-live

Why Intellitics

Technology that works across the business, not just in a pilot.

We design for production: clean master data, permissioned architecture, practical change management, and systems teams will actually use.

15+ years building enterprise software

3 core practice areas under one roof

24/7 delivery and support mindset

Discover

Map processes, data, and outcomes.

Design

Architecture, UX, security, integration.

Build

Working increments every sprint.

Scale

Go-live, training, and monitoring.

Let’s talk

Ready to modernize with AI, blockchain, or ERP?

Emailinfo@intelliticstech.com

Phone+91 98490 65496
040 2373839

Global delivery Intellitics Technologies Private Limited
511, D-Block, A Enclave, Ameerpet,
Hyderabad, India - 500016