BidPakConstruction / Electrical Estimation Platform
Project overview
BidPak operates an enterprise electrical bidding and estimation platform built for US contractors. The system connects a live pricebook of over 10,000 electrical components with smart assemblies so teams generate accurate proposals faster. With continuous market pricing and search driven workflows, BidPak brings structure and speed to traditionally manual estimation.
Scope of project
- Product Architecture
- Next.js Frontend
- GraphQL APIs
- Search & Pricebook Engine
- Real-time Data Sync
- Performance Optimization

problem
Electrical contractors were spending hours manually calculating material costs and preparing quotations. Pricing inconsistencies and outdated catalogs led to inaccurate bids and lost margin.
The business needed a cloud platform that centralized live market pricing, standardized electrical symbols, and turned estimation into a repeatable digital workflow.
requirements
- A live pricebook of electrical components as the system of record, not a static upload
- Search that felt instant under real estimator pressure
- Smart assemblies and electrical symbols inside the same workflow as search and bid output
- A bid generation flow that matched how contractors actually price jobs
- Near real-time pricing synchronization so live market data stayed usable during estimation
architecture
- Frontend development and GraphQL API delivery on a Next.js and Node.js stack
- MongoDB and Elasticsearch powering component search across more than 10,000 electrical parts
- Monstache keeping pricing synchronized in near real time
- Smart assemblies, electrical symbols, contractor management, and bid generation in one cloud workflow
engineering challenges
The complexity of electrical estimation was the central challenge. BidPak serves contractors who live inside pricebooks, assemblies, symbols, and bid packages every day. Pricing changes, catalogs go stale, and a single wrong component can wipe margin off a job. The old way of working forced estimators into spreadsheets, disconnected catalogs, and manual quotation work that was slow, inconsistent, and hard to trust when a bid needed to go out the same day.
The product problem was deeper than building a form. BidPak needed a live pricebook with thousands of electrical components, search that felt instant under real estimator pressure, smart assemblies that reduced repetitive work, and a bid generation flow that matched how contractors actually price jobs. Performance, data sync, and UX all had to hold up together. If search lagged or pricing looked outdated, estimators would abandon the platform and go back to the tools they already trusted.
estimation platform solution
We started by mapping the estimation workflow end to end: how estimators search parts, assemble scopes, validate pricing, and turn that work into a proposal. That discovery shaped two product decisions. First, the pricebook had to be the system of record, not a static upload. Second, assemblies and symbols needed to sit inside the same workflow as search and bid output so estimators never left the platform to finish a quote.
We led frontend development and GraphQL API delivery on a Next.js and Node.js stack, with MongoDB and Elasticsearch powering component search across more than 10,000 electrical parts. Monstache kept pricing synchronized in near real time so live market data stayed usable during estimation. Smart assemblies, electrical symbols, contractor management, and bid generation were engineered into one cloud workflow. The result is an estimation platform contractors can use to produce accurate bids faster without rebuilding their process around another spreadsheet.

Project outcome
results
BidPak now delivers an electrical estimation experience that matches how contractors actually win work. Live pricing, searchable components, smart assemblies, and bid generation sit in one cloud workflow, so estimators spend less time chasing catalogs and more time producing accurate proposals. The platform performs as a real commercial asset for electrical bidding, with faster estimate cycles and pricing confidence built into the daily process.
Measurable results
Components indexed
10k+
Estimate speed
3x
Response Time
<200ms
technology
- Next.js
- Node.js
- GraphQL
- MongoDB
- Elasticsearch
- Monstache
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“
BidPak turned our estimation process from manual chaos into a reliable bidding system our teams actually use every day.
— Operations Lead, Electrical Contracting Firm, USA
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