Case Study: Transforming Shopify Marketing with Simplified Campaign Tools and AI-Powered Webchat

Learn more about how the Cloud Combinator team created a service that would simplify Shopify merchants’ ad creation to boost customer engagement and ROI - with the background support of a context-aware, effective AI chatbot.

About The Customer

AdTecher.com, a trading name of Key Takeaway Ltd, is a forward-thinking SaaS company that’s dedicated to empowering e-commerce merchants - with a focus on businesses using the Shopify platform. Their goal is to provide a suite of tools that help partners streamline operational efficiency, enhance their customer service provision, and reduce costs by harnessing cutting-edge AI technology.

A significant focus for AdTecher is developing a series of tools that help merchants create highly optimised digital advertising campaigns on platforms like Google and digital audio channels - backed by a service chatbot that can deliver accurate and context-aware partner support.

Customer Challenge

Digging deeper into AdTecher’s goals to help SME’s highlighted a series of potential challenges that could stand in the way of creating an innovative and attractive service. These challenges included:

• Creating a platform that simplifies the often-complex process of developing a digital ad campaign for eCommerce merchants.
• Building an AI-powered webchat service that provides responsive customer service and meaningful insights.
• Putting the pieces of the solution together to provide a service that enables merchants to achieve higher customer acquisition rates and improved ROI.

Overcoming these challenges and achieving the team’s goals required scalable, reliable AI solutions capable of handling diverse merchant needs - at the same time as integrating seamlessly with third-party tools and existing AWS infrastructure.

Partner Solution

The Cloud Combinator team worked closely with 3GI and AdTecher to design and implement a service that would leverage elements of the AWS tech stack and generative AI services to deliver the desired goals.

Key Components of the Solution:

• AI Webchat Foundation: Amazon Lex was used to develop a chatbot with dynamic intents and utterances to support a wide range of use cases. In addition, Amazon Bedrock was used to integrate generative AI models and agents trained on specific information that would allow accurate, context-aware responses.
• Retrieval-Augmented Generation (RAG) Workflow: An embedding model was used to convert documents into embeddings - which were then indexed and stored within Amazon’s OpenSearch Service for efficient retrieval by the chosen LLM. This stage involved experimenting with parsing and chunking configurations to ensure optimal performance.
• Chat History and Backend Integration: AWS Lambda Hooks were used to invoke the Bedrock agent via Lex - while Amazon’s DynamoDB was implemented to maintain an accurate, extensive chat history - enabling continuity in partner conversations.
• Deployment and Development Pipeline: The full solution was deployed using AWS CloudFormation, which ensures consistency and scalability within AdTecher’s AWS environment. Further integrations and iterations were enabled for additional services - including Amazon Cognito for user authentication and tools like Bubble for front-end development.
  
  

Results and Benefits

The implemented solution provided a range of immediate and longer-term benefits for the team at AdTecher.

In terms of improved campaign effectiveness, partner Shopify merchants are now given the ability to easily leverage AI tools to create optimised ad campaigns with significantly less effort - an attractive prospect that’s led to increased customer acquisition and improved ROI. With increased numbers of partner businesses onboard, the desire for enhanced customer engagement has also been vital. The new AI-powered webchat tool offers personalised, seamless support that is context-aware and can draw on previous interactions instantly - improving customer service and partner satisfaction.

In addition to the features that benefit partner businesses, creating a solution within AWS services, AdTecher’s platform is also built for scalability—supporting growing merchant needs and future innovations with minimal disruption. What’s more, by choosing AI-powered tools, both campaign creation and customer interactions become automated - reducing the manual workload and the associated overhead costs.

Using AdTecher's solution made merchants 4x more effective in deploying ad marketing campaigns during testing.

Why Cloud Combinator?

The team at AdTecher chose to work with Cloud Combinator and 3GI owing to the proven in-house experience with AI and machine learning - as well as strong partnership with AWS and the tried-and-tested use of AWS tools. This expertise made the client confident a robust and scalable solution could be developed. 

Since the AdTecher team had very specific needs, the Cloud Combinator team’s ability to take an iterative approach - including experimenting with RAG configurations and advanced generative workflows - further added to the confidence that a solution could be developed to meet the business’s needs. 

Adtecher’s Director Charles is refreshingly laid back for a man with such responsibility - but nonetheless, budget is always important - especially when developing a tool that’s designed to reduce running costs into the future. As such, Cloud Combinator's ability to leverage funding options and make sure the solution was delivered within budget was another key, deciding factor.

Client Satisfaction

“Working with 3GI and the Cloud Combinator team has been a game changer for us. Their deep understanding of AI/ML & services on platforms like Amazon Bedrock, combined with their ability to align solutions with our vision, has resulted in tools that have exceeded our expectations.

The streamlined Ad campaign creation process, backed by AI-powered RAG based support, has significantly improved our early adopters' ability to engage their customers and achieve better ROI in testing.

The iterative approach taken, particularly in fine-tuning the RAG workflows and generative AI integrations on AWS, ensured that we built on a platform perfectly suited to our needs. 

We’re already seeing positive results, including increased early adoption and user satisfaction in testing, and we’re confident this foundation will support our growth in the long term as we look to iterate on feedback and launch our MVP in the first half 2025.”

Charles Wheeler - AdTecher Director