EndorsedendorsedOngoing

AWS-based Quote Automation for Packaging Manufacturer

Services Covered:

Custom Software Development
Project hero — replace with case study imagery
Industry
Industry

Engineering & Manufacturing

Duration
Duration

118 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 October 2016

Team Size
Team Size

Confidential

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Sunflower Lab 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

Confidential

mapThe Bronx, United States of America

Project Summary

Sunflower Lab developed AWS-based modules that automate quotation generation for a family-owned packaging manufacturer. The software produces automatic quotes based on client data and distribution usage and is being expanded with additional modules. The client is satisfied with responsive support and expects labor cost savings equivalent to two full-time employees over time.

Key Challenges

  • Difficulty remembering and assigning tasks to employees
  • Trouble tracking orders, containers, and quotations
  • Need to develop seven or eight software modules to automate processes

Project Deliverables

  • Automatic quotation generation software
  • Multiple AWS-based modules for distribution and quoting
  • Integration to automatically send price and data to clients

Project Solution

Sunflower Lab developed custom software modules hosted on AWS to automate the generation and delivery of client quotations. The system accepts client data and produces recurring quotations (monthly or bimonthly), automatically sending pricing and details to clients. The engagement is iterative and ongoing, with additional modules and expanded manufacturing-focused features planned.

Project Outcome

  • Issues are resolved within 24 hours
  • Software produces labor savings equivalent to two full-time employees
  • Client expects to realize cost savings after one to two years

Platforms

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The new software product provides the labor equivalent of two full-time employees, foreshadowing significant company cost reductions. In addition to ongoing problem-solving, Sunflower Lab soon will expand from targeting distribution to developing manufacturing solutions.

Anonymous

CEO

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

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