Advanced Procurement & PO Planning for ERPNext

ECOSIRE builds a proper Frappe app — a versioned module installed on your bench, not a pile of loose customizations — that adds a demand-to-supply planning layer on top of ERPNext's existing Buying and Stock modules. At its core is a Procurement Plan DocType with child tables for demand lines (pulled from Sales Order, Material Request, forecast, and Stock Projected Qty) and suggested supply lines. A scheduler event runs the netting engine nightly (or on demand via a whitelisted @frappe.whitelist() method) to compute net requirement per Item per Warehouse, then applies supplier constraints from a Supplier Item mapping DocType — lead-time days, MOQ, order multiple, and price-break tiers — to produce dated PO suggestions that respect when stock actually needs to arrive.

The planning board is a custom Frappe page / Desk report where buyers see suggestions grouped by supplier and warehouse, adjust quantities and required-by dates, and flag lines for consolidation. Before committing, they run a simulation: the app clones the current plan into a scenario, recomputes projected on-hand and coverage days, and shows a side-by-side comparison of two or more scenarios (e.g. "single large PO to clear a price break" vs "split shipments to protect cash"). Approved lines are turned into standard ERPNext Purchase Orders through the framework's own API, so downstream receiving, Purchase Invoice matching, and stock ledger entries all behave exactly as ERPNext expects. Budget and spend controls are enforced via hooks.py doc events and a Procurement Budget DocType: server-side validation blocks or routes for approval any PO line that would breach a category or cost-center budget, and role profiles / permission rules keep planners, approvers and buyers in their lanes.

Because this is build-to-order, nothing is a generic download. We start with a scoping call to map your item categories, warehouse topology, supplier data quality, and approval hierarchy, then build against your ERPNext version (v15 or v16). You get the app installed on a staging bench first, we run UAT against your real data with a rollback plan ready, and only then promote to production. Typical delivery is 2–4 weeks from confirmed scope. You receive the full source in a git repo you own, technical and user documentation, a training session for your buyers, and a post-go-live support window for fixes and adjustments.