Manufacturers running ERPNext get accurate landed costs on finished goods through the Stock Ledger and the Manufacture-type Stock Entry, but they hit a wall when the cost accountant asks the next question: why did this batch cost more than it should have? ERPNext core computes an actual cost per Work Order from consumed materials and applied operating costs, but it does not hold a governed standard cost, and it does not decompose the gap between standard and actual into material price, material usage (quantity), labor rate, labor efficiency, overhead absorption, and scrap. Controllers end up exporting Stock Ledger and Job Card rows into spreadsheets every month-end to reconstruct variances by hand — slow, error-prone, and impossible to drill from a P&L number back to the operation that caused it.

ECOSIRE builds a proper Frappe application (its own module, not a pile of customizations) that layers standard costing and variance analysis onto your existing ERPNext manufacturing data. We introduce DocTypes such as Standard Cost Version, Standard Cost Rollup, and Production Variance (with child tables for per-component and per-operation variance lines). A standard cost is rolled up from your multi-level BOM — exploding sub-assemblies, applying frozen material standards, and absorbing operation-level labor and machine-hour rates defined per Workstation and Operation. The rollup runs as a whitelisted server-side method so finance can recost on demand or on a scheduled scheduler_events job, and every version is immutable once approved so you always have an audit trail of what standard was in force.

The variance engine hooks into the manufacturing lifecycle via hooks.py doc events — on Work Order completion and on Stock Entry (Manufacture) submit, a server script captures actual consumed quantities, actual valuation rates, and actual operation time from the linked Job Cards, then computes and posts variance lines: material price variance (actual rate vs standard rate x actual qty), material usage variance (actual qty vs standard qty x standard rate), labor rate and efficiency variance from Job Card time logs against standard run rates, overhead absorption variance, and scrap/rework cost attributed back to the operation and cost center that produced it. Results surface as native ERPNext Query/Script Reports with drill-through from the finished-good SKU down to the Work Order, Job Card, and individual operation, plus role-scoped dashboards for the finance controller. Everything is reachable over the Frappe REST API and whitelisted methods so it can feed Power BI or a data warehouse.

Because this is build-to-order, nothing ships as an instant download. We start with a short scoping call to confirm your BOM structure, how you define standards (frozen annual, quarterly, or moving), your overhead absorption basis, and your v15 or v16 target. We then build against a staging bench that mirrors your data, run UAT with your cost accountant on real work orders, and only cut over to production once the numbers reconcile. Typical delivery is one working week from confirmed scope. You receive the full app source in a git repository, install and configuration on your environment, documentation, a training session, and a post-go-live support window — you own the code and can extend it yourself or have us maintain it.