Digital Transformation Proposal
Enterprise AI-Powered ERP Platform for Manufacturing Operations
Letter of Submission
Chennai | July 5, 2026To the Board of Directors & CXOs of Diamond Engineering,
We are pleased to submit this formal proposal to partner with Diamond Engineering on its strategic digital transformation journey. In today's complex heavy manufacturing landscape, operational velocity, cost optimization, and quality assurance are no longer merely competitive advantages - they are baseline requirements for market leadership.
Diamond Engineering has established a stellar reputation in metal fabrication, heavy engineering, and structural steel manufacturing. However, scaling these operations to meet the next decade of growth requires a departure from legacy, manual processes. The transition from siloed, manual workflows to a highly integrated, intelligent enterprise platform is critical.
This proposal outlines the deployment of the RexonSoft ERP Platform, an Enterprise AI-powered system specifically customized for heavy engineering. Over a 9-month implementation timeline, we will modernize your engineering registries, automate bill-of-materials (BOM) parsing, optimize inventory and material forecasting, and introduce cutting-edge Artificial Intelligence to eliminate production bottlenecks, reduce material wastage, and secure customer inspection clearances.
The commercial value of this project is established at ₹23,25,00,000 (Rupees Twenty-Three Crores Twenty-Five Lakhs Only), excluding taxes. This represents a comprehensive turnkey investment - including custom engineering, AI model training, data migration, user adoption training, enterprise server infrastructure, and a 12-month comprehensive warranty. Our detailed Return on Investment (ROI) models predict that this investment will yield ₹41.25 Crores in operational savings over a 5-year period, achieving project break-even within 22 months post-deployment.
We look forward to collaborating with your leadership team to build a future-ready, digitally integrated, and AI-driven manufacturing powerhouse.
Executive Summary
A strategic mandate to transform Diamond Engineering from legacy manual operations to an AI-orchestrated manufacturing powerhouse.
Legacy Challenges
- Manual CAD blueprint reading and slow Excel-based BOM extraction.
- Stock double-allocation causing emergency purchases and wastage.
- Roster scheduling bottlenecks and idle fabrication bays.
- Paper-based quality logs leading to late site reworks and billing locks.
Future AI-ERP Vision
- Local AI engines that parse CAD/PDFs and extract BOMs in minutes.
- Project-wide sequential stock allocation by inventory item ID.
- Visual shift planning schedules preventing double-bookings.
- Strict gate locks preventing billing/logistics of uncertified goods.
Understanding Diamond Engineering
Client Profile & Industry Focus
Diamond Engineering operates in the high-stakes sector of heavy steel fabrication, industrial vessels, and custom metal structures. To design a software system that aligns with these processes, the ERP platform maps your unique 6-level engineering hierarchy directly into its database structure:
This hierarchy forms the basis of the system, connecting initial client enquiries and drawings to raw material stock issues, welder consoles, and final delivery challans.
Current Pain Points & Gap Analysis
Audit of current manual limitations and how the RexonSoft ERP system resolves them.
Manual drawing translations
Engineers manually translate drawing revisions. The ERP provides a local AI CAD/PDF parser that converts drawings to trees automatically.
Excel BOM transcription errors
Manual data entry creates incorrect material lists. The system auto-generates structural assembly bills of materials.
Inventory double-allocations
Independent checks allocate the same plate to multiple components. We implement sequential stock reservations.
Rework from defective steel
Arriving steel is issued without checking certification. The platform introduces inward QC gates and MTC checks.
Welder scheduling conflicts
Whiteboards permit overlapping bay schedules. The system runs roster validation logic to prevent double-bookings.
Overlooked weld defects
Weld defects are detected late in assembly. Stage 13 UT testing and quality gates are integrated into job cards.
Unrecorded scrap remnants
Leftover steel is discarded. The remnant warehouse management module logs plate pieces back to stock.
Premature shipping dispatches
Components ship before customer sign-off. The platform locks dispatches until the customer CIR is recorded.
Siloed reporting systems
Management awaits weeks for manual Excel reports. The dashboard aggregates real-time metrics.
Strategic Business Objectives
| Functional Area | Strategic Objective | Target Metric | Financial Return Focus |
|---|---|---|---|
| Engineering | Automate drawings to BOM translation | 80% reduction in planning time | Reduces engineering overheads |
| Inventory | Minimize raw steel plate wastage | Scrap rates reduced below 3.0% | Direct material cost savings |
| Production | Maximize bay and machinery output | Improve welder utilization to 85% | Increases fabrication capacity |
| Quality | Eliminate post-delivery field reworks | Reduce weld defect rate below 1.5% | Prevents project penalty clauses |
| Logistics | Secure customer inspection clearances | Zero unapproved site shipments | Accelerates collection cycles |
System Architecture & Tech Stack
A secure, scalable enterprise platform designed to run locally on on-premise servers.
Frontend Clients
- React 18 & TypeScript
- Electron Desktop Shell
- TailwindCSS layout engines
- Zustand State cache
Application Servers
- NestJS backend modules
- Prisma Client ORM
- Rest APIs & WebSockets
- Docker containers
AI Engine Core
- PyTorch model instances
- pgvector embeddings
- Llama-3-8B Local LLM
- pdf-parse stream parser
Interactive ERP Modules Explorer
Explore the 103 operational modules across the 11 integrated functional suites.
The AI Drawing & Nesting Pipeline
How our on-premise AI models parse blueprints, calculate weights, and optimize material layouts.
Blueprint Ingestion
Planners upload DWG files or PDF blueprints. PyTorch-based neural networks locate coordinates for title blocks and parts list tables.
CAD Vector Geometry Tokenization
The parser extracts coordinate data, dimension strings, and annotations. Text segments are compiled and categorized separately from geometric layouts.
BOM Tree Classification
Classifiers read assembly segment indexes (like 1.1.2.4) to build hierarchical parent-child relationships, creating an structured BOM tree in the database.
Theoretical Weight Estimation
The engine calculates raw volume based on width, length, and flange thickness parameters. It applies a standard steel density of 7,850 kg/m³ to calculate weight.
Plate Nesting & Purchase Recommendations
Calculated dimensions are matched against current inventory warehouse plate sizes. The nesting module flags sheet shortages and recommends consolidated purchase indents.
RexonAI Chatbot Console
Ask the local AI model questions about inventory, production status, and quality checks.
RexonAI Assistant
Llama-3 Model • On-Premise GPU NodesWelcome to RexonAI Assistant. I can query inventory registers, generate production summaries, or review project timelines. Select a quick query card or type a command below.
Process Workflows Comparison
Current State: Paper-Heavy & Siloed
Manual handovers introduce delays, typing errors, and double-allocation risk.
PDF Drawings Received
Manual reading by planning engineers.
Excel BOM Assembly
Tonnage and dimensions transcribed manually into tables.
Siloed Inventory Auditing
Checking materials row-by-row; stock is often double-allocated.
Whiteboard scheduling
Welding bays scheduled without shift validation checks.
Paper checklist QC & delivery
Components are shipped before customer sign-offs are logged.
Future State: AI-Orchestrated & Integrated
Real-time database triggers connect engineering to dispatches with zero double-entry.
Drawing Upload to Vault
Local AI engines automatically parse text and vector geometries.
Auto-BOM & Weight Calculation
Calculates volume, theoretical weight, and checks layout options.
Sequential Stock Reservation
Plate consumption is reserved sequentially; shortages trigger requisitions.
Digital Job Card & Rework Alerts
Bays track progress via terminals; failed QC blocks further dispatches.
Automated Invoicing & Shipping
Taxes (GST) are calculated dynamically and details are pushed to Tally.
Security Architecture & Infrastructure Specifications
Security Framework
- Access Security: Granular RBAC configurations block unauthorized screen navigation.
- MFA Enforcement: TOTP multi-factor token check on login.
- Data Encryption: HTTPS TLS 1.3 for connections and AES-256 for local databases.
- Audit Logging: System transaction logs register edits to comply with corporate audits.
Hardware Specifications
- Server Model: Dell PowerEdge R760 Rack Server.
- Processor: Dual Intel Xeon Scalable Gen 4 (32 Cores per CPU).
- Memory: 256GB DDR5 ECC RAM.
- GPU: NVIDIA L4 Tensor Core GPU (24GB GDDR6).
- Storage: RAID 10 NVMe SSD + RAID 6 SAS HDD for vaults.
- Firewall: Dual Fortinet FortiGate 80F (HA).
Infrastructure Procurement terms
The total estimated cost for local server hardware, network configurations, and deployment services is ₹50,00,000 (Rupees Fifty Lakhs Only), which is included in the project cost. If Diamond Engineering chooses to procure this hardware independently using RexonSoftTech's specifications, ₹50,00,000 will be deducted from the final contract value.
Project Team & Implementation Timeline
Project Team Structure
A dedicated team of 49 resources will be deployed to support the 9-month implementation.
Implementation Timeline (9 Months)
Detailed Commercial Breakdown
Explore the itemized development, infrastructure, and resource costing models.
| ID | Core Platform Module / Service Suite | Scope of Coverage & Included Functional Components | Valuation (₹) |
|---|
Commercial Summary
Project Return on Investment (ROI) Simulator
Adjust the savings sliders to see how your investment breaks even based on your operational variables.
Operational Optimization Variables
Adjust the sliders to reflect your expected efficiency gains post-ERP deployment.
Simulated ROI Output
Real-time calculations of financial returns over a 5-year period.
Support SLA & Terms of Contract
Warranty & SLA Support Framework
A 12-month comprehensive warranty begins immediately upon User Acceptance Testing (UAT) sign-off. This covers bug resolutions, database tuning, security patches, and minor UI revisions at no additional cost.
| Severity | Response SLA | Resolution SLA |
|---|---|---|
| P1 - Critical | 30 Minutes | 4 Hours |
| P2 - High | 2 Hours | 24 Hours |
| P3 - Medium | 8 Hours | 3 Working Days |
| P4 - Low | 24 Hours | 7 Working Days |
Summary Terms of Contract
- Validity: This proposal is valid for 30 days from the date of submission.
- GST/Taxes: All quoted prices are exclusive of GST, which will be charged extra at the applicable rate.
- Scope Changes: Requests beyond the agreed SRS will be treated as Change Requests and billed separately.
- Client Dependencies: Timely access to stakeholders, data, and integration systems is required; delays will impact the project timeline.
- IP Ownership: Source code and IP remain owned by RexonSoftTech. Client receives a perpetual, non-exclusive license upon final payment.
- Third-Party Costs: Cloud hosting, SMS/email, e-way bill APIs, etc. are charged at actuals and are not included above.
- Warranty Scope: Warranty covers bug fixes only; new enhancements during the warranty period are billed separately.
- Payment Terms: Payments are due within 7 days of milestone invoice date.