Ideaport Riga is a UX-driven consultancy specializing in the implementation and extension of CRM solutions, particularly for Salesforce and Siebel platforms. With over 17 years of experience, their team of 80 industry-savvy engineers focuses on creating well-engineered solutions that engage users and help businesses achieve their objectives. By combining user experience expertise with CRM technical proficiency and Generative AI, Ideaport Riga ensures that businesses become more digital and human-centered without excessive costs.
Key Features and Functionality:
- Salesforce Services: As a certified Salesforce Consulting Partner, Ideaport Riga offers implementation, migration, and customization services tailored to specific business processes. They also provide portal implementation, system integration, and user experience enhancements to maximize efficiency and user adoption.
- Oracle Siebel CRM Services: Leveraging strong roots in Siebel CRM, they assist companies in modernizing the Siebel user experience, boosting productivity with Generative AI, and solving performance challenges to maximize system ROI.
- Generative AI Integration: Ideaport Riga experiments with Generative AI to enhance CRM user journeys, aiming to improve user productivity and deliver tangible results for clients.
- Custom Development: They offer end-to-end CRM solutions, including integrations with various systems, data platforms, and the creation of mobile and web applications, ensuring modern, well-engineered solutions with excellent user experience and high performance.
Primary Value and Solutions Provided:
Ideaport Riga's primary value lies in their ability to deliver UX-driven CRM solutions that enhance user adoption and return on investment. By applying design thinking methodologies and leveraging available technologies, they ensure businesses become more digital and human-centered without incurring excessive costs. Their emphasis on understanding user needs and business objectives allows them to create solutions that are both effective and user-friendly, addressing challenges such as poor data quality and inefficient processes.
