Building a greenfield SaaS platform for benchmarking and cost estimation in manufacturing

Overview

Industry

Location

Manufacturing

France

Technology Used

.Net Core

Airflow

Azure

Bazel

CosmosDB

Dropwizard

Elasticsearch

Flink

Hive

K8s

Loki

Parquet

Postgress

Presto

Prometheus

Protobuf

React.js

Spark

StackStorm

Tekton

Project overview

We designed and delivered a greenfield SaaS platform for benchmarking and costing in manufacturing, with accurate carbon footprint calculation as a key capability. Our team provided end-to-end support through the ideation and development phases, handling everything from UI/UX design and cloud-native architecture to full-stack development and test automation.

Client background

A French industrial consulting and technology company that helps manufacturers optimize product lifecycles. By modeling best industrial practices through unique algorithms, they enable companies to make faster, data-driven decisions that enhance competitiveness and sustainability.

Goals

Previously, the benchmarking and cost calculation process relied on fragmented tools and expert-driven work that was difficult to scale. There was no single, cohesive environment for efficiently comparing cost and environmental scenarios. To resolve this, the project focused on transforming specialized manufacturing knowledge into a scalable, greenfield SaaS solution with a cloud-native foundation for high-precision benchmarking and costing. By integrating sophisticated carbon footprint modeling as a core platform feature, the initiative established a clear competitive advantage over existing tools. The collaboration also equipped subject matter experts with skills needed to take on product ownership responsibilities while delivering intuitive UI/UX designs coupled with robust, high-performance data models.

Results

Successful greenfield launch

Delivery of a high-performance SaaS platform that integrates complex costing and benchmarking with precise carbon footprint analysis, providing a unique value proposition in the industrial market.

Dramatic efficiency and quality gains

Analysis turnaround time was reduced severalfold, while the standardization of data and processes minimized manual errors and improved the consistency and repeatability of results.

Scalable cloud infrastructure

Leveraging Azure Functions, we implemented a cloud-native architecture that ensures high availability, cost-efficiency and scales seamlessly as data complexity and user demand grow globally.

Product ownership maturity

Through dedicated training, the client’s multiple domain experts can now take on the roles of Product Owners and co-owners of the backlog to independently manage their roadmap, strategy and future iterations.

Data-driven decision making

Modern UI/UX and optimized data models significantly reduced technical analysis time, enabling faster, data-backed financial and environmental decisions.

Foundation for future expansion

The underlying technological foundation enables rapid, non-disruptive feature delivery, paving the way to analytical module expansions, automating recommendations for cost and environmental decision-making and further platform internationalization.