GetDevDone

Mobile App & Black Friday Experience
 

Delivered solution:

• React Native app (iOS & Android) integrated with Shopify Plus via GraphQL API.
• Personalized Black Friday flows: wishlists and browsing history powered dynamic homepage offers.
• One-tap checkout: Apple Pay & Google Pay dramatically reduced friction.
• Gamified loyalty rewards: referral system rewarded purchases and drove peer-to-peer promotion.
• Performance-first design: engineered to handle 3x baseline traffic without downtime.

Because gamified loyalty models can attract fraud or abuse, we built guardrails — validation layers, reward thresholds, and fraud checks — to protect fairness without blocking genuine users. Anticipating 3x traffic spikes, we ran infra stress-tests and co-created incident playbooks with the client, giving them operational resilience beyond launch.

Full story: https://getdevdone.com/blog/mobile-app-black-friday-experience.html

AI personalization for DTC fashion brand

A U.S.-based apparel brand ($28M annual revenue, 90 employees) had strong acquisition momentum through TikTok and Meta campaigns, but profitability was under pressure. Repeat purchases stagnated, SMS campaigns felt “spammy,” and the Shopify storefront offered the same generic experience to every visitor. Without visibility into churn or margin drivers, leadership feared a cycle of rising ad spend with diminishing returns.

In partnership with their agency, GetDevDone designed a retention-first roadmap focused on personalization, data integration, and AI-readiness.

Strategic challenges

• Flat repeat revenue: returning customer rate stuck at ~28% despite heavy promotions.
• Weak SMS performance: CTR below 2%, high unsubscribe rates, customers complaining of irrelevance.
• Generic on-site journey: Shopify storefront reduced to “bestsellers,” ignoring visitor behavior.
• Churn blindness: no early-warning signals, leading to reactive and late retention campaigns.

Business impact delivered

• SMS channel revived: CTR rose from ~2% to ~6%, while unsubscribe rates declined by roughly a quarter. This restored profitability to a channel leadership feared was no longer viable.
• Repeat revenue lifted: the returning customer rate increased from 28% to just over 31% within three months — a modest percentage shift, but one that translates into a material six-figure annual impact at current scale.
• On-site engagement improved: personalized bundles and recommendations increased average time on site by ~20% and boosted average order value by ~8%. The merchandising team can now compare bundle performance against generic “bestsellers.”
• Executive visibility gained: leadership now has dashboards showing the split between acquisition-driven and retention-driven revenue, giving finance and marketing a shared view of efficiency and profitability.

Full story: https://getdevdone.com/blog/ai-personalization-and-retention-transforming-sms-and-on-site-experience-into-growth-drivers.html

Building a Complex Online Platform for Aus Flying

The owner of Aus Flying, Mike Nash, turned to us for assistance with the development of an online platform where pilots could hire aircraft by location or manufacturer, and plane owners list their aircraft for hire or sale. 

The client wanted us to use WordPress as the content management system. Initially, he provided us with the designs of the essential pages so that we could make and launch an MVP as quickly as possible. 

While the website’s aesthetics were important, too, it was the functionality that defined the success of the entire project. Specifically, Mike requested the following features and capabilities: 

• Listing planes for hire or sale. 
• Editing or updating details of planes listed for hire or sale. 
• Saving incomplete listings so that users can finish them at a later time. 
• Uploading images for a plane gallery with a drag-and-drop functionality to arrange images in a specific order, as well as selecting the main image of a plane and adding 360° images to see the plane’s panoramic view. 
• Browsing aircraft listings with the ability to delete them quickly or change their status to draft. 
• Sending messages to aircraft owners. 
• Viewing incoming messages in the admin panel (for aircraft owners). 
• Login and registration. 
• Profile editing. 
• Comprehensive filtering, with every taxonomy having its own filter page.  
• Listing locations and makes with a link to the corresponding filter pages.  
• A map showing aircraft in various regions and airports with pin auto grouping on zooming out.

Creating all that varied and complex functionality was clearly not a matter of days or even months. So, the client picked the features he wanted us to develop in the first place. 

Full story: https://getdevdone.com/blog/building-wordpress-website-aus-flying.html

Custom AI LLM for an Affiliate Marketing Company

Project highlights

• Custom LLM Hosting: Fine-tuned Llama 3.1 8B on AWS SageMaker for internal use by AP clients.
• RAG-Based Insight Generation: Integrated external data with Retrieval-Augmented Generation for smarter output.
• Workflow Automation: Leveraged AWS Lambda and SQS for auto-triggered training and deployment.
• Non-technical UX Focus: Implemented OpenWebUI for a user-friendly interaction layer with mini GPTs.

Our Approach

1. LLM Hosting & Fine-Tuning on AWS

We deployed and fine-tuned Meta’s Llama 3.1 8B model using AWS SageMaker to allow AP to host their own large language model. Each client instance has its own tailored model for personalized context windows and interaction clarity.

The fine-tuning process was automated via:

• SQS-triggered Lambda functions to pull datasets from S3 and initiate SageMaker training.
• CloudWatch monitoring to detect job completion and trigger model deployment to AWS Bedrock.

2. RAG Integration & Prompt Engineering

To deliver precise and context-rich outputs, we implemented Retrieval-Augmented Generation. This allowed the model to pull data from external sources and adapt responses accordingly—ideal for contract analysis, financial summaries, and content automation.

3. OpenWebUI for Mini GPTs and Workflow Automation

We installed OpenWebUI, making it easy for non-technical users to engage with the AI.

Key features include:

• Pre-built mini GPTs for specific tasks (e.g., financial insight extraction, legal flagging).
• Pipelines that trigger custom scripts or automate AI interactions within larger workflows.

Tech Stack

Meta Llama 3.1, AWS SageMaker, AWS Bedrock, AWS SQS, Lambda, CloudWatch, OpenWebUI with Pipelines, RAG, custom prompt templates, mini GPTs.

Full story: https://getdevdone.com/blog/self-hosted-chatgpt.html

Financial SaaS platform

Project highlights

• Custom SaaS development: GetDevDone built the platform from the ground up, delivering a suite of financial analysis and management tools. The team also developed a custom reporting system.
• Rapid MVP and production launch: Three months from kickoff to MVP. By month six, the full version was delivered.
• Payment integration: Stripe powers the subscription system, which includes a 14-day free trial.

Technology solution

The project followed a focused end-to-end delivery cycle tailored to the realities of small and medium-size businesses.

Consultation & product analysis

We started with a joint discovery process to define the product’s core function: offering non-financial teams visibility into operational spending without the overhead of legacy tools. Working closely with the client, we outlined key user roles, business objectives, and must-have features, which gave us a lean but strategic roadmap.

Infrastructure planning

We ran a detailed evaluation of AWS vs. GCP to keep infrastructure cost-effective and analytics-ready. Google Cloud’s performance, native data tools, and pricing flexibility aligned best with the product vision. This choice shaped how we scaled the platform from MVP to production.

Design & development

The design was focused on clean navigation, quick data access, and minimal friction between login and insight. The backend was built from scratch on GCP and tightly integrated with third-party analytics services. We developed a robust custom reporting system that provides centralized visibility on OpEx, analyzes financial activities, and improves operational efficiency.

Quality assurance

QA covered unit and integration testing, as well as security and performance validation. We placed special focus on maintaining data integrity across the reporting system and external services.

Full story: https://getdevdone.com/blog/saas-finance-tool-development.html

Power BI Transformation for Affiliate Agency

Project highlights
 

• Data storing and management: our team led the development and implementation of a forecasting system that aimed to enhance organizational decision-making.
• Reporting performance: by eliminating excessive calculations and backend requests, we improved performance and reduced AWS costs.
• Data optimization: we archived outdated data and split active datasets into smaller tables, lifted the AWS computing strain, sped up report generation, and prepared the business for future scaling. 

Technology solution

Data Restructuring & Performance Optimization
We restructured oversized datasets by archiving rarely used data and breaking the remaining data into smaller, query-optimized tables. Backend improvements included rewriting queries, applying indexes and partitions, and configuring single-direction relationships to avoid circular dependencies.

Forecasting System Integration
We built a forecasting module using historical data and AutoML models. These models now provide estimates on channel performance, marketing ROI, and profitability by partner type, all within the Power BI interface.

Front-End & UX Enhancements
To improve user experience, we implemented streaming operations, preloaded visuals for dashboards, and removed redundant queries, reducing report loading time to under 10 minutes.

Business outcome
 

• Report Speed — Reduced generation time from 5 hours to under 10 minutes, empowering daily decision-making across marketing and finance.
• Cost Reduction — Optimized AWS compute and storage costs by minimizing data bloat and inefficient queries.
• Forecasting Capabilities — The forecasting module enables accurate projections of revenue by campaign, channel, and partner, used daily for ROI and budget decisions.
• Improved Scalability — The new data model supports hundreds of thousands of records with zero loss in performance.

Full story: https://getdevdone.com/blog/reporting-optimization-power-bi.html

Shopify + ERP: scaling fashion growth

Executive Summary

A mid-sized French fashion retailer (35M turnover) faced a familiar dilemma: fragmented commerce systems, hidden costs from prior consultancy engagements, and eroding trust in technology investments. Their leadership set a clear mandate: restore control, reduce operational risk, and scale responsibly without locking the business into spiraling SaaS spend.

In partnership with their agency, GetDevDone delivered a phased commerce integration program anchored on transparency, ROI-first pilots, and governance-by-design. The program unified Shopify Plus, WooCommerce, and Odoo ERP into a single cost-controlled operating spine, balancing resilience with independence.

Strategic challenges
 

• Inventory volatility eroded customer trust: overselling and backorders reached ~7% of orders.
• ERP disconnects forced manual reconciliation, costing hours each week.
• Leadership lacked visibility into margin performance by channel, promotions sometimes ran at a loss.
• Previous "big consultancy" had left the business with over-engineered, high-license systems that couldn't be sustained.

Business impact delivered
 

• Operational discipline: Overselling cut from 7% to 1.5% across all SKUs, restoring customer confidence.
• Financial resilience: SaaS avoidance saved ~€4,000/month in recurring costs; integration built on client-owned cloud.
• Decision intelligence: New dashboards gave board-level visibility into margin performance, enabling pricing based on profitability rather than guesswork.
• Talent independence: The IT team now manages the majority of daily operations independently, with GetDevDone engaged only for escalation.
• Governance readiness: GDPR and PCI DSS v4.0 compliance embedded, ensuring readiness for audits without external consultants.

Full story: https://getdevdone.com/blog/shopify-erp-scaling-fashion-growth-with-cost-control-and-margin-clarity.html

Redeveloping the website on WordPress

Client

The Playground reached out to us for assistance with the redevelopment of the website of their client a London-based lettings agency Winchester White. 

Challenge

The legacy sites native CMS made content updates slow and developer-dependent. The new build needed responsive pages, seamless property listings ingestion, and reliable analytics/SEO tooling. 

Solution

GetDevDone rebuilt the website on WordPress, shipping the front end in milestone batches (homepage, key service pages, careers, guides, journal, FAQs) with clean HTML/CSS and dynamic JS (AJAX filters/sort, maps, sliders). On the back end we implemented custom post types (News, FAQs, Staff), curated and tuned essential plugins (ACF, Yoast, Redirection, GDPR Cookie Consent, WP REST Cache, etc.), and replaced a custom BLM import with Property Hive + BLM Import add-on, saving ~3 weeks of custom development while preserving the clients listing flow. We migrated and optimized the stack on Nimbus hosting. 

Results
 

• Content management shifted to the business team; no dev hand-offs for routine updates.
• Faster, filterable property search with map/grid views and REST caching for heavy listings.
• Lower cost and quicker delivery via off-the-shelf BLM import (vs. bespoke integration).
• Smooth launch and ongoing collaboration with the agency. 

Tech/Plugins

WordPress, ACF (+ extensions), Yoast, Property Hive (+ BLM Import), WP REST Cache, Contact Form 7, Stripe Express, Google Maps.

Full story: https://getdevdone.com/blog/winchester-white-website-transformation-wordpress-plugin-integration.html

Custom CRM and AI Reporting Tool

Technology solution

The system restructuring began with a plan to re-engineer the existing DMP system, build a brand-new CRM from scratch, and integrate partnership recruitment functionality.

We broke the project down into clear phases to keep things lean, scalable, and future-proof.

System Rebuild
We started with a complete reengineering of the existing DMP, restructuring it into a scalable architecture using AWS tools like Glue, Redshift, and S3. This laid the foundation for all future development.

Custom CRM
From scratch, we designed and developed a full-featured CRM tailored to our clients workflows. It featured:
 

• Intuitive dashboards;
• Real-time data sync;
• Scalable architecture for thousands of partner profiles.

Partner Discovery Tool Integration
Partner discovery features were deeply embedded into the CRMs Partners section. This meant users no longer had to jump between tools everything was in one place.

Smart Reports with GPT
In a first for this agency, we introduced a fully integrated AI module powered by OpenAI's GPT. This Smart Reports feature enabled:
 

• Auto-generated campaign summaries;
• PDF report creation;
• Performance predictions and content suggestions.

Upskilling & Handoff
Throughout the build, we trained our clients internal team on the technologies used so they could own the platform post-launch without vendor dependence.

Tech stack:
 

• Frontend: Hasura (No-Code GraphQL), Custom CRM UI
• Backend: Apache PySpark, AWS Glue, Python
• Data: AWS Redshift, S3, CloudWatch
• AI/ML: OpenAI (GPT), PowerBI
• DevOps: GitHub Actions, CircleCI
• Other: AWS SQS, Heroku

Full story: https://getdevdone.com/blog/custom-crm-ai-reports.html

Driving marketplace growth with Shopify + Amazon

Delivered solution:
 

• Centralized inventory orchestration using Linnworks to synchronize stock across Shopify Plus, Amazon FBM/FBA, and ERP (SAP Business One). Updates for fast-moving SKUs pushed every 2 minutes.
• Data integration pipeline with Fivetran Snowflake to unify sales, stock, and forecast data.
• Predictive demand forecasting with AWS Forecast + Prophet ML, providing SKU-level projections.
• Dynamic repricing via Feedvisor, ensuring Amazon competitiveness while safeguarding margins.
• Security & compliance layer: Datadog monitoring, Cloudflare WAF for API endpoints, GDPR audit logging.

Tech stack
 

• Commerce: Shopify Plus
• Marketplace: Amazon FBM/FBA
• ERP: SAP Business One
• Middleware: Linnworks
• Data & warehouse: Fivetran + Snowflake
• AI/Forecasting: AWS Forecast, Prophet (Python ML)
• Repricing: Feedvisor
• Monitoring & security: Datadog, Cloudflare WAF
• Compliance: PCI DSS v4.0, GDPR

Business impact
 

• Amazon cancellation rate reduced from 12% to 2% in one quarter.
• Buy Box win rate improved by 18%, boosting marketplace visibility and sales.
• Stockouts reduced by 40%, improving customer satisfaction.
• Operational efficiency: saved ~1520 staff hours weekly with automated reconciliation.
• Leadership gained transparency - Snowflake dashboards now provide executives with predictive visibility across Shopify and Amazon.

Full story: https://getdevdone.com/blog/driving-marketplace-growth-with-shopify-amazon-integration.html