B2B Serverless E-commerce
100% cloud-native solution on AWS with serverless architecture, automatic scaling, and pay-per-use model for a B2B store.
The Problem
The B2B quotation process was an operational collapse. Salespeople took days or weeks to generate final quotes due to manual information gathering from multiple global suppliers (APIs, Excel, web platforms), manual comparison, and error-prone calculations.
The Solution
I designed a serverless system on AWS that eliminated manual intervention through an automated ETL pipeline for massive data ingestion, transformation of unstructured files into a unified catalog, and a centralized interface enabling search, price comparison, and quote generation in minutes.
Key Results
Quotation time reduction
Direct impact on sales
Tech Stack
Case Study
Global Quotation Optimization
The Challenge: Forensic Inefficiency in Quotation
Evidence Dispersion
Manual gathering of cost, stock, and delivery time information from heterogeneous sources (APIs, Excel files, and web platforms).
Slow Analysis
Manual comparison and cost/margin calculation, an error-prone process that consumed days or weeks.
The Architectural Solution: Cloud-Native Massive Ingestion
Massive Ingestion Pipeline
Automated ETL pipeline capable of extracting data from supplier APIs and transforming unstructured Excel files into a unified catalog.
Serverless & Cloud-Native Architecture
Infrastructure based on AWS Lambda, S3, and DynamoDB, providing on-demand processing capacity without the financial burden of fixed servers.
Empowerment Interface
Centralized interface enabling salespeople to search, compare prices and delivery times from multiple suppliers, and generate quotes in minutes.
The Impact and Engineering Evidence
Quotation Time Reduction
From a days/weeks process to minutes, drastically accelerating the sales cycle.
Speed ROI
Increased sales force capacity to close deals quickly by providing accurate and timely information, directly impacting the company's top-line.
Technical Evidence
The Serverless design demonstrated its ability to handle massive data loads from global suppliers with unmatched cost efficiency.