Chemical Industry ERP
Batch manufacturing ERP with MSDS traceability and reactor scheduling for a Gujarat chemical unit.
System architecture
Modules and integrations delivered for this engagement.
Project Value
₹15L–₹30L
Timeline
16 weeks
Industry
Manufacturing
Team Size
5–8 engineers
Business Outcome
Efficiency
Support Period
12 months
Overview
Executive Summary
Custom ERP with batch genealogy, MSDS document vault, reactor scheduling, and GST/Tally integration for a specialty chemicals manufacturer.
Client Profile
Leading manufacturing organization
Batch manufacturing ERP with MSDS traceability and reactor scheduling for a Gujarat chemical unit.
- Size
- Mid-size enterprise
- Sector
- Manufacturing
Initial Situation
Where they started
Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
Before
- Spreadsheet batch logs
- Manual MSDS filing
- Phone-based reactor scheduling
After
- Digital batch genealogy
- Linked MSDS per batch
- Visual reactor calendar
Strategy
Challenges & Project Goals
What blocked progress before delivery — and what leadership signed off to achieve.
Key challenges
- Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
- Manual processes causing errors and delays
- No integration with accounting systems
Project goals
- Reduce manual work
- Improve data accuracy
- Enable real-time visibility
Discovery & Planning
How we planned the engagement
- 1On-site process mapping
- 2Stakeholder workshops
- 3Phased rollout plan
Solution Architecture
Technology architecture
Custom ERP with batch genealogy, MSDS document vault, reactor scheduling, and GST/Tally integration for a specialty chemicals manufacturer.
Process
End-to-end workflow
Capture
Data entry at source
Approve
Role-based workflows
Report
Live dashboards
UI/UX design process
- 1Role-based UX for operators and managers
- 2Mobile-first field interfaces
Development process
- 1Agile sprints with weekly demos
- 2Phased module delivery
Technical
Technology stack & deployment
Technology stack
Deployment strategy
- Pilot go-live
- Training program
- 30-day hypercare
Timeline
Project timeline
Phased delivery from discovery through rollout and hypercare.
Discovery
2 weeksProcess mapping and scope
Build
10–14 weeksCore modules and integrations
Go-live
2 weeksTraining and hypercare
Key milestones
Discovery complete
Signed-off scope
UAT
User acceptance on staging
Go-live
Production deployment
ROI
Results & ROI
Measurable business impact delivered within the agreed timeline.
Audit-ready batch records
Down from 2 weeks manual compilation
Reduced rework and write-offs
Full traceability from raw material to dispatch
Automated batch status updates
Engagement summary
Delivery at a glance
Documented delivery parameters for a Leading manufacturing organization — documented in case study review.
Challenge
Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
- Manual processes causing errors and delays
- No integration with accounting systems
Solution
Custom ERP with batch genealogy, MSDS document vault, reactor scheduling, and GST/Tally integration for a specialty chemicals manufacturer.
Business outcome
99.5% Batch accuracy
Full traceability from raw material to dispatch
Timeline
16 weeks
Support: 12 months
Team size
5–8 engineers
Technology stack
ROI indicator
99.5% — Batch accuracy
Audit-ready batch records
Client feedback
“Batch traceability and audit prep time dropped dramatically once we moved off spreadsheets.”
ROI highlight
99.5%
Batch accuracy
Audit-ready batch records
- Timeline
- 16 weeks
- Team
- 5–8 engineers
Insights
Lessons learned
- Shop-floor discovery is non-negotiable
- Phased rollout beats big-bang
Key results
99.5% Batch accuracy
Full traceability from raw material to dispatch
35% Less manual entry
Automated batch status updates
ROI: 99.5% Batch accuracy — Audit-ready batch records
Implementation approach
How delivery was structured
Existing process
Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
Pain points
- Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
- Manual processes causing errors and delays
- No integration with accounting systems
Solution
Custom ERP with batch genealogy, MSDS document vault, reactor scheduling, and GST/Tally integration for a specialty chemicals manufacturer.
Timeline
16 weeks
Technology stack
React · Node.js · PostgreSQL · AWS
Strategic insights
Lessons for similar operators
- →Shop-floor discovery is non-negotiable
- →Phased rollout beats big-bang
“For manufacturing engagements like this, executive sponsorship and phased go-live matter as much as architecture — 16 weeks only works when change management keeps pace.”
Evidence-backed data
Statistics & benchmarks
Sourced from Maxwell research, reports, and documented client engagements — with publication dates.
Industry statistics
22%
Majority still rely on spreadsheets, Tally-only setups, or fragmented tools.
Source (2024-06-01): IDC India SMB Survey 2024
#1
Specialty chemical manufacturers in GIDC clusters.
Source (2026-03-01): Maxwell Electrodeal — Digital Transformation in Chemical Industry Report
Market trends
30%
Manufacturing teams re-keying dispatch, GRN, and production data into spreadsheets.
Source (2023-09-01): Deloitte India Operations Report 2023
$2.5B
Projected market size driven by SME digitization and GST compliance pressure.
Source (2024-11-01): NASSCOM 2024 SMB Tech Report
Benchmarks
8–12 mo
Mid-market manufacturers with custom ERP and Tally integration.
Source (2023-09-01): Deloitte India Operations Report 2023
6–9 mo
Barcode + ERP sync engagements in manufacturing SMEs.
Source (2026-01-15): Maxwell Electrodeal — Inventory Automation Case Study
Case study FAQs
- What was the main challenge for this manufacturing engagement?
- Batch records, MSDS documentation, and reactor scheduling lived in disconnected spreadsheets.
- What was the implementation timeline?
- 16 weeks — Discovery (2 weeks); Build (10–14 weeks); Go-live (2 weeks).
- What ROI or business outcomes were achieved?
- 99.5% Batch accuracy — Full traceability from raw material to dispatch
- What technology stack was used?
- React, Node.js, PostgreSQL, AWS
Related resources
Resources & guides
Services
Industries
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