Project Name
How Ksolves Transformed a Precision Manufacturer with AI-Augmented ERPNext
A 35-year-old precision engineering company operating 4 manufacturing plants across India, with exports to Germany, the USA, and Japan, was running its business on three disconnected systems: Tally for accounting, Excel for production planning, and a legacy MRP tool that had not been updated in 8 years.
The results were visible across every function. Critical raw material stock-outs were routine. Inventory sat 25-30% above optimal levels, with ₹4.8 Cr tied up in obsolete and overstocked materials. Job card status updates ran 3-4 days behind reality. Machine downtime was invisible to management. And with European clients pressing for ISO 23456 and IATF 16949 com
pliance, the gap between where they were and where they needed to be was widening.They needed a unified platform capable of handling multi-level BOMs, real-time batch traceability, IoT machine integration, and shop floor operations at scale. They chose ERPNext, with Ksolves as their ERPNext implementation and development partner.
Ksolves delivered the full engagement using an AI-augmented delivery model. Every consultant used AI tools across process mapping, custom development, data migration, and testing, specifically Claude for process documentation, compliance mapping, and AI-assisted code review, and GitHub Copilot for accelerated custom development.
- Disconnected Shop Floor Reporting: Supervisors relied on WhatsApp messages and paper job cards to track production status. Updates arrived 3-4 days late, making real-time production decisions impossible.
- Excess Inventory and Frozen Working Capital: Weak MRP planning had created ₹4.8 Cr in overstocked and obsolete raw materials, representing 25-30% excess inventory across the four plants.
- Multi-Level BOM Errors: Manual BOM explosion caused incorrect material issuance and repeated production halts. Without automated validation, errors compounded across production orders.
- Manual Batch and Heat Number Traceability: All batch and heat number records were maintained in Excel. This created significant audit risk and made forward or backward traceability effectively impossible under IATF 16949 requirements.
- Quality Inspection Bottleneck: Lots waited more than 48 hours for inspection clearance. With quality workflows disconnected from production, 40% of throughput was held up at QC at any given time.
- No Visibility into Machine Performance: Operators manually logged CNC runtime and downtime. The numbers were inaccurate, OEE calculations were unreliable, and capacity planning had no real foundation to work from.
- 12-Day Monthly Reconciliation Cycle: The finance team spent 300+ hours every month reconciling stock across Tally, Excel, and the legacy MRP system, a process with no automation and significant risk of discrepancy.
Ksolves mapped 180+ existing processes before writing a line of code. AI-assisted process analysis accelerated this phase significantly, identifying redundancies and compliance gaps that would have taken weeks to surface manually.
- Smart Shop Floor Module: A custom shop floor module was built with barcode-enabled job cards and real-time operation tracking. Operators could scan, report production, log downtime reasons, and raise material requests directly from a custom ERPNext mobile app, eliminating manual entry at every step.
- Multi-Level BOM with Auto-Explosion: Ksolves developed a multi-level BOM engine with phantom assembly support and automatic explosion. AI-assisted code review during development caught edge cases in BOM logic before they reached UAT, reducing post-deployment corrections.
- Heat Number and Batch Traceability Module: A custom traceability module replaced the Excel-based system entirely. Forward and backward traceability is now available in a single click, with complete audit trail integrity for IATF 16949 compliance.
- Custom Quality Inspection Workflow: Stage-wise inspection, rejection reason codes, and CAPA integration were built into a single quality workflow. Inspection decisions now feed directly back into production scheduling, eliminating the 48-hour clearance delay.
- IoT and Machine Integration: 45+ CNC and VMC machines were integrated via the MTConnect protocol. Runtime, downtime, and OEE data now flow automatically into ERPNext — no manual logging, no estimation.
- Advanced MRP and Finite Capacity Planning: A dedicated MRP workflow with finite capacity planning, bottleneck identification, and what-if simulation replaced the 8-year-old legacy tool. Planning decisions are now based on actual capacity, not assumed availability.
- Legacy Data Migration: 8 years of legacy data, 1.8 lakh+ material transactions, were migrated with 100% reconciliation accuracy. AI-assisted data validation during migration identified mapping errors before they were committed, keeping the reconciliation clean.
- Custom Dashboards and Analytics: Real-time OEE dashboards, inventory ageing analysis, and an on-time delivery KPI tracker gave management visibility they had not had before. Reports that previously required manual compilation were available on demand from day one.
- 68% Reduction in Production Delays: Real-time job card tracking and automated BOM explosion cut average manufacturing lead time from 18 days to 6 days. AI-assisted ERPNext testing during development caught BOM logic errors before go-live, which is what kept the gains clean after launch.
- 42% Lower Inventory Carrying Cost: Advanced MRP with finite capacity planning freed ₹3.2 Cr in working capital previously tied up in excess stock. The speed of this outcome was possible in part because AI-assisted configuration review compressed the MRP setup and validation cycle significantly.
- 88% OEE Achievement: IoT machine integration and downtime logging boosted Overall Equipment Effectiveness from 61% to 88%, surpassing the 85% world-class threshold.
- 100% Traceability Compliance: The custom Heat Number and Batch module delivered one-click forward/backward traceability, resulting in zero audit non-conformances under IATF 16949. AI-assisted documentation ensured compliance mapping was accurate before the module went live.
- 54% Drop in Quality Rejections: Stage-wise inspection workflows and CAPA integration reduced rework and scrap.
- 37% Operator Productivity Gain: Mobile app with barcode scanning eliminated manual entries and accelerated shop floor reporting.
- 97% On-Time Delivery Rate: Dynamic scheduling and bottleneck alerts improved customer fulfillment from 72% to 97%.
- 4-Hour Monthly Stock Reconciliation: Automated validation replaced 12-day manual process, saving 180+ finance hours monthly.
This engagement demonstrates what is possible when deep ERPNext domain expertise is combined with an AI-augmented delivery model. From process re-engineering and custom development to IoT integration and legacy data migration, Ksolves delivered a complete smart factory transformation on a fully open-source platform with zero licensing costs.
The client now has complete, real-time control over production, inventory, quality, and compliance; and a system that scales with their operations without proprietary vendor dependency.
For manufacturers evaluating ERPNext or planning a migration from legacy systems, contact Ksolves to scope your project.
Running Manufacturing Operations on Disconnected Systems? Let’s Scope What an Erpnext Implementation Looks Like for Your Plant.
