With over 150 years of legacy, the client is well known for growing lush lawns and vibrant gardens with its care products. Homeowners and retailers regard the client as a trusted American multinational brand. However, in a fast-paced world, thriving in new seasons requires planting fresh seeds, and soon, the client realized the need to transform, evolve, and succeed in business constantly.
The client aimed to transform digitally and wanted to automate their manual deployment process to the runtime fabric (RTF) environment to avoid time-consuming steps like copying files, configuring settings, and manually starting the applications. Also, the increased number of applications added the risk of errors, as well as bringing in new data security concerns.
The goal was to migrate these applications from on-premises to a cloud platform, providing a modern digital experience and new innovative products to their retailers and mass merchandisers. On the other hand, they envisioned a next-gen customer support experience to support consumers with options to get order updates, download product data, and chat with support—instantly, on an intuitive platform, and in a way, to make customers feel that Scotts Team uniquely supports them.
The client partnered with Dextara Datamatics to bring this transformation to real-time. Understanding the importance of Scott's objective, the Dextara Datamatics team started analyzing their existing systems, identifying gaps, and crafting a tailored integration strategy. We knew that automation, security, and scalability had to be at the solution's core. We automated the deployment of MuleSoft applications to a runtime fabric (RTF) using Salesforce (SFDC) and integrated MuleSoft and SAP with Salesforce using connectors and APIs. This step ensured the data was agile and exchangeable between the systems.
Data security was a top priority, so we implemented SSL/TLS encryption standards to authorize users and secure data at every step.
We built Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline the testing and deployment process, ensuring the integration was secure and reliable. Besides transforming its legacy systems, the client was equally focused on delivering a great customer experience and wanted to improve customer engagement. Hence, using Einstein Chatbot, we offered an AI-driven solution that didn't just answer questions but held conversations. We developed Lightning Web Components (LWC) to create a tailored and unified chatbot platform to push beyond Einstein's standard capabilities to fill Scotts Miracle-Gro's needs. And when Einstein's built-in features fell short—like content display limitations and hyperlink handling—we overcame them with custom LWC development, ensuring no compromise on experience or functionality. We trained their internal teams and tested rigorously, making the go-live process as smooth as their best lawn care formula.
Automated, error-free deployments significantly cut down time and operational costs.
End-to-end encryption ensures GDPR-compliant, seamless data exchange across systems.
AI-powered chat and simplified self-service tools enhance customer satisfaction and reduce support effort.
Unified digital touchpoints and personalized interactions strengthen brand loyalty across retail channels.
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