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Pipeline & Sales Forecasting Analytics — A build-to-order ERPNext CRM extension that turns your Opportunities into weighted-p — 1/1Illustrative preview

A build-to-order ERPNext CRM extension that turns your Opportunities into weighted-pipeline,

win-probability forecasting and rep-performance dashboards.

ECOSIRE scopes, builds, installs and supports it on your bench.

What is Pipeline & Sales Forecasting Analytics?

A build-to-order ERPNext CRM extension that turns your Opportunities into weighted-pipeline, win-probability forecasting and rep-performance dashboards. ECOSIRE scopes, builds, installs and supports it on your bench. Built to order by ECOSIRE for ERPNext v15, v16 — indicative price from $999.00 USD; request a quote for a scoped proposal.

Key Features

Custom `Pipeline Stage Weight` DocType mapping each ERPNext `sales_stage` to a configurable win-probability, so weighting reflects your real conversion math
Weighted pipeline calculation: `opportunity_amount` × stage probability, aggregated by stage, owner, territory and expected close month
`Sales Quota` DocType for per-rep, per-team and per-period targets tied to your Fiscal Year and custom periods
Forecast-vs-quota tracking with attainment %, gap-to-target and commit/best-case/pipeline categorization
Immutable `Forecast Snapshot` DocType capturing point-in-time weighted pipeline for predicted-vs-actual accuracy analysis over time
Win/loss analysis built from Opportunity `on_update`/`on_submit` doc events in `hooks.py`, with lost-reason and competitor breakdown
Stage-conversion funnel showing drop-off rate between each `sales_stage` and blended conversion to Won
Sales-velocity metrics: average days-in-stage, sales-cycle length and pipeline-coverage ratio against quota
Rep and team performance dashboards via native Frappe Dashboard Charts, Number Cards and a dedicated Workspace
Nightly `scheduler_events` job that pre-aggregates snapshots and metrics so large pipelines load instantly
Whitelisted `@frappe.whitelist()` methods and standard Frappe REST API endpoints for Power BI / Metabase / warehouse consumption
Role Profile + User Permission scoping: Sales Users see their own forecast, Sales Managers see team roll-ups
Client Scripts on the Opportunity form surfacing live stage weight, weighted value and win-probability context
Configurable currency handling using ERPNext multi-currency so global teams forecast in company base currency

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

  1. 1

    You order

    Start with a one-time build price. We scope it with you at kickoff.

  2. 2

    We build & install

    ECOSIRE builds, configures and installs it on your ERPNext.

  3. 3

    Go live + support

    You go live in about one working week, with two weeks of go-live support. Defects in the code we deliver are fixed free of charge.

Technical Specifications

ERPNext Compatibility
—
License
Licence confirmation required
Python Requirement
Python 3.10+
Database
MariaDB 10.6+

About this Product

Sales leaders running on ERPNext hit the same wall: the native CRM captures Leads and Opportunities cleanly, but the moment someone asks "what are we going to close this quarter and how confident are we?", the answer lives in exported spreadsheets. ERPNext core gives you an Opportunity sales_stage, an opportunity_amount and a probability field, plus the stock Sales Funnel and a handful of Query Reports — but it does not weight the pipeline by probability at the stage level, does not track forecast against a quota you set per rep, and has no built-in win/loss or velocity analytics. Managers end up rebuilding the same pivot table every Monday, and every rep's forecast is a gut number nobody can audit.

ECOSIRE builds a proper Frappe app — its own module, not a pile of customizations bolted onto standard DocTypes — that closes that gap. We add DocTypes such as Sales Quota (per rep/team/period with a target amount), Forecast Snapshot (an immutable point-in-time capture of weighted pipeline so you can compare what you predicted versus what landed), and Pipeline Stage Weight (configurable probability per sales_stage so weighting reflects your real conversion math, not the ERPNext defaults). A scheduler event registered in hooks.py (scheduler_events) runs nightly to roll up Opportunities into snapshots and recompute stage-conversion and sales-velocity metrics, so the dashboards are fast even on large pipelines rather than recalculating on every page load.

Technically, the analytics are driven by server-side Python: whitelisted methods (@frappe.whitelist()) expose weighted-pipeline, forecast-vs-quota, win/loss and velocity data to Number Cards, Dashboard Charts and a custom Frappe Workspace, and everything is reachable through the standard Frappe REST API (/api/method/...) for Power BI, Metabase or a data-warehouse feed. hooks.py doc events (on_update, on_submit) on Opportunity keep derived fields and the win/loss record in sync as deals move, and light Client Scripts surface stage-weight and probability context right on the Opportunity form. Access is governed by ERPNext permissions and Role Profiles — a Sales User sees their own numbers, a Sales Manager sees the team roll-up — with User Permission scoping so reps cannot read each other's forecasts.

Because this is build-to-order, there is no instant download. You start with a short scoping call; we confirm your stages, quota model, fiscal calendar and how you define a "win", then build against your actual ERPNext instance. Typical delivery is one working week from confirmed scope. We install on a staging site first, run UAT with your team, then deploy to production with a rollback plan and hand over the full git repository so you own the code outright. The app targets Frappe/ERPNext v15 and v16 and is written to survive bench update without patching core.

What you get

  • Installable source code for your version of the app, packaged as a proper Frappe app installable via `bench get-app` / `bench install-app`
  • Installation and configuration on your ERPNext instance, including stage weights, quotas and Role Profiles set to your process
  • Technical documentation: DocType schema, whitelisted methods, `hooks.py` events, scheduler jobs and REST endpoints
  • End-user guide plus a live training session for sales reps and managers on reading the dashboards and forecast
  • UAT on a staging site with a documented rollback plan before any production deployment
  • Post-go-live support window for bug fixes and adjustments after launch
  • Full git repository handover so you own and can extend the code
  • Compatibility validation against your Frappe/ERPNext v15 or v16 version, tested to survive `bench update`

Who this is for

VP / Head of Sales

Needs an auditable quarterly forecast and pipeline-coverage view they can defend to the board, instead of a hand-assembled spreadsheet that changes every week.

Sales Operations Manager

Owns the ERPNext CRM data hygiene and wants weighted pipeline, quota attainment and win/loss analytics generated automatically from Opportunities rather than manual pivots.

Regional / Team Sales Manager

Wants a per-rep performance and velocity dashboard scoped to their team, so coaching conversations are grounded in stage-conversion and cycle-time data.

RevOps / BI Analyst

Needs clean whitelisted methods and REST endpoints to pull forecast and pipeline data into Power BI or a warehouse without scraping the ERPNext UI.

How Pipeline & Sales Forecasting Analytics Compares

CriterionECOSIRECustom BuildCompetitorERPNext Native
Weighted pipeline by stage & probabilityConfigurable stage weights via dedicated DocType, aggregated automaticallyPossible but you design the weighting model from scratchOften a fixed probability field, limited stage configHas `probability` field but no true weighted roll-up
Forecast vs quota trackingPer-rep/team quota DocType with attainment and gap analyticsBuildable, needs quota schema and reports designedRarely includes quota managementNo quota concept in core CRM
Win/loss & velocity analyticsBuilt from Opportunity doc events, with lost-reason and cycle metricsRequires custom event handlers and report logicBasic funnel at bestStock Sales Funnel only, no velocity
Forecast accuracy over timeImmutable Forecast Snapshots for predicted-vs-actual comparisonMust design snapshot capture and retentionTypically not offeredNo historical forecast capture
Fit to your sales processScoped and built to your stages, periods and win definitionFully bespoke but you carry all build riskGeneric, configure within its limitsGeneric ERPNext defaults only
Upgrade safety (v15/v16)Standalone app, no core edits, survives `bench update`Depends on your team's disciplineVaries by vendor maintenanceN/A — it is core
BI / API accessWhitelisted methods + REST endpoints for Power BI/warehouseYou build and document the endpointsMay lack clean API surfaceGeneric REST, no forecast-shaped data
Ownership & supportFull git repo handover + post-go-live support windowYou own it and support it entirelyVendor-locked, subscription supportCommunity/ERPNext support only

Frequently Asked Questions about Pipeline & Sales Forecasting Analytics

Is this a ready-made app I can download and install today?

No. This is build-to-order. ECOSIRE scopes, builds, installs and supports the app for your specific ERPNext instance — it is not an existing Frappe Cloud Marketplace download. You get source you own, configured to your sales process, not a generic one-size binary.

How long does delivery take?

Typical delivery is one working week from confirmed scope. After a short scoping call to lock stages, quota model, fiscal periods and win definition, we build against your instance, run UAT on staging, then deploy to production. Timeline moves with complexity and how quickly scope is confirmed.

Which ERPNext versions do you support, and how are updates handled?

We target Frappe/ERPNext v15 and v16. The code is written as a standalone app that survives `bench update` without patching core. After go-live you get a support window for bug fixes; longer-term maintenance and version upgrades are available as an ongoing arrangement, and because you hold the git repo you can also extend it in-house.

Will it modify ERPNext core or break on upgrade?

No core files are edited. We ship a proper Frappe module with its own DocTypes, `hooks.py` doc events, whitelisted methods, Client Scripts and scheduler jobs. Logic hangs off Opportunity via hooks rather than forking standard DocTypes, so `bench update` stays clean.

Can I feed the forecast data into Power BI or a data warehouse?

Yes. All analytics are exposed through `@frappe.whitelist()` methods and the standard Frappe REST API (`/api/method/...` and `/api/resource/...`), so Power BI, Metabase, or a warehouse ETL can consume weighted pipeline, forecast-vs-quota and win/loss data directly with an API key.

How do you keep reps from seeing each other's forecasts?

Access uses ERPNext Role Profiles and User Permissions. A Sales User is scoped to their own Opportunities and quota; a Sales Manager sees the team roll-up. We configure the permission model with you during scoping so visibility matches your org structure.

What if our sales stages and probabilities are unusual?

That's expected. Stage weights live in a configurable `Pipeline Stage Weight` DocType, so any set of `sales_stage` values and probabilities can be modeled — including non-linear or custom stages — without code changes after go-live.

Request a quote

Pipeline & Sales Forecasting Analytics

A build-to-order ERPNext CRM extension that turns your Opportunities into weighted-pipeline, win-probability forecasting and rep-performance dashboards. ECOSIRE scopes, builds, installs and supports it on your bench.

  • Custom `Pipeline Stage Weight` DocType mapping each ERPNext `sales_stage` to a configurable win-probability, so weighting reflects your real conversion math
  • Weighted pipeline calculation: `opportunity_amount` × stage probability, aggregated by stage, owner, territory and expected close month
  • `Sales Quota` DocType for per-rep, per-team and per-period targets tied to your Fiscal Year and custom periods
  • Forecast-vs-quota tracking with attainment %, gap-to-target and commit/best-case/pipeline categorization

Request a Quotation

Tell us about your Pipeline & Sales Forecasting Analytics requirements and we'll send pricing, licensing options and a tailored proposal — usually within one business day.

No payment now. This sends a quote request to our team — we'll follow up by email with pricing and next steps.