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Custom E-commerce Platform and Data Warehouse for C3 by SBE

Services Covered:

Custom Software Development • E-commerce Development • AI and Machine Learning
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Industry
Industry

Food & Beverage

Duration
Durationinfo-circle

9 months

Budget
Budget

1M - 10M

Start Date
Start Date

1 October 2021

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable GoSolve LLC is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

C3 by SBE

mapBeverly Hills, United States of America

Project Summary

GoSolve LLC worked with a food tech company (C3 by SBE) to build a responsive e-commerce platform, including frontend and backend, partner-facing APIs, and a data warehouse with associated machine-learning/data-science capabilities. They used Next.js for server-side rendering, Cloudflare for caching, and established a Python/Go data science practice. The engagement improved code quality (GitHub grades A+), reduced the bug rate from ~7% to under 1%, and delivered work on schedule while maintaining budget discipline.

Key Challenges

  • Build an e-commerce funnel including frontend, backend, and menu management
  • Establish machine learning and data science capabilities and set up a data warehouse (Python and GoLand-based practice)
  • Build the frontend experience and partner-facing APIs for external integration

Project Deliverables

  • Responsive e-commerce website (Next.js frontend and backend)
  • RESTful APIs and partner integration APIs
  • Data warehouse and data science practice (Python and Go)
  • Search APIs and API key management/self-service
  • Cached frontend assets via Cloudflare
  • Figma prototypes and frontend designs

Project Solution

GoSolve provided end-to-end development: Figma-based prototyping and frontend design; built a Next.js-driven, server-side rendered responsive web frontend; implemented backend systems, caching via Cloudflare, and partner-facing search APIs with API key self-service. They also established a data warehouse and a Python/Go-based data science practice and staffed the engagement (growing from seven to 12 engineers) with architectural oversight and recruitment support from the vendor.

Project Outcome

  • Average bug rate decreased from about 7% to less than 1%
  • All engineers scored above 90 on initial tests and GitHub code quality is consistently an A-plus
  • The vendor consistently met release dates and tracked the budget effectively
  • Development processes tracked via CI/CD, GitHub, Asana, Slack with high deployment and merge rates

Platforms

  • WebWeb
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • Next.jsNext.js
  • PythonPython
  • GoGo

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Our average bug rate fell from 7% to under 1% because of GoSolve LLC's quality work. Every engineer scored above 90 on their QA tests, and the team stands out for thinking about architecture first. They also keep an eye on the budget and always meet deadlines.

Vikram Raghavan

CPO & CTO

Note: This endorsement is based on publicly available client feedback from external review sources.