LAL A.I. & Wolfram ERP – Enterprise Solutions

LAL A.I. – Decision Support

Text mining, n‑grams, vector search and enterprise context injection for decision support.

Live Demo Brochure
-20% Ticket resolution time
-25% Proposal/tender cycle time
-60% Document lookup time
LAL A.I.

A decision engine that runs on real enterprise data

LAL A.I. ingests ERP/DB/REST sources, builds n-gram & embedding representations, and injects live context via RAG to produce explainable outputs.

Versioned templates and A/B comparisons measure results; a feedback loop raises quality.

🧩
Context Injection
RAG + ERP data for auditable generation
🔐
Governance & Security
RBAC, masking, audit logs

Highlighted Solutions

🛠

Technical Service & Field Ops

Ticket → planning → dispatch → SLA tracking. Mobile forms, OCR and spare-part suggestions in one flow.

SLA & escalation Mobile forms/OCR Spare-part suggestion KB with RAG Field route optimization
🗂

Document Management

Auto field extraction from invoices/waybills/contracts; smart indexing and version control.

OCR + NLP Auto tagging Versioning Retention/policy Semantic search
📑

Proposal & Tender Management

RFP/RFQ parsing, spec matching, costing and compliance checks for faster proposals.

RFP parsing Spec matching BoM costing Compliance/Risk Template generation

Capability Catalog

🔎

Semantic Search

Hybrid vector + keyword queries to surface the right record.

🧩

RAG & Context

Inject ERP/DB/REST context into prompts for explainable outputs.

📈

Forecast & Risk

Demand, delay and failure forecasts and risk scoring.

🛰

Signal Automation

Smart workflows triggered by stock/mfg/finance signals.

🧾

Document AI

OCR+NLP field extraction; template-free capture, smart index.

🛡

Governance

RBAC, field masking, audit logs; open to on-prem & cloud.

🧪

Templates & A/B

Prompt templates, versioning and A/B comparisons.

🧠

Anomaly & Fraud

Unusual pattern analysis and alerts across text/transactions.

🛠

Technical Service & Field

Dispatch, SLA, mobile forms, parts suggestion, KB RAG.
🗂

Document Management

OCR, auto tags, versioning, retention, search.
📑

Proposal & Tender

RFP parsing, spec match, BoM costing, compliance.

How it Works

1

Ingest

Stream from SAP/Wolfram ERP, REST/SQL, files and queues.

2

Enrich

Clean; build n-grams & embeddings; map to ontology.

3

Reason

Apply RAG with context to produce explainable outcomes.

4

Measure & Improve

Feedback, metrics and versioning to iterate.

Process

Screenshots

Replace the images below with your actual screenshots.

Tech Service
Document Management
Tender
RAG

Frequently Asked Questions

Tickets and work orders are pulled from ERP; LAL suggests routes & parts, OCR fills mobile forms, and SLA breaches trigger alerts.

Versioning, retention/policy and access logs are standard; texts are embedded into a vector index for semantic search.

RFPs are parsed; spec items are mapped to products/BOM; merged with ERP costs to produce compliance/risk reports and a template proposal.
Let’s try your scenario with real data.
Contact Sales Brochure