List of Mekari Qontak Customers
Jakarta, 12160,
Indonesia
Since 2010, our global team of researchers has been studying Mekari Qontak customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Mekari Qontak for CRM from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Mekari Qontak for CRM include: Sekolah Cikal, a Indonesia based Education organisation with 850 employees and revenues of $100.0 million, Kompas Cyber MediaP T, a Indonesia based Media organisation with 60 employees and revenues of $7.0 million, Transgo Indonesia, a Indonesia based Transportation organisation with 25 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Mekari Qontak, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Mekari Qontak customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Kompas Cyber MediaP T | Media | 60 | $7M | Indonesia | Mekari | Mekari Qontak | CRM | 2024 | n/a | In 2024, Kompas Cyber MediaP T deployed Mekari Qontak to centralize omnichannel customer service and standardize CRM operations. The Mekari Qontak deployment focused on the CRM category and targeted customer solution workflows across Kompas's Indonesia operations. Implementation included AI-assisted chat for real-time agent support, omnichannel ticketing and routing to consolidate channels into a single case management flow, and SLA and scorecard monitoring to enforce response targets. Configuration emphasized agent queueing, automated routing rules, and dashboard reporting for service-level visibility and operational monitoring. Operational scope centered on the customer solution team and customer-service processes within Indonesia, aligning the platform with media-specific engagement patterns. Per the vendor case study, Kompas reported approximately 67% productivity improvement for the customer solution team and a reduction of average response time to under 10 minutes after the Mekari Qontak deployment. Governance changes included formalizing SLA-driven workflows and scorecard-based performance monitoring, with process adjustments to escalation and case ownership to operationalize the new CRM controls. The deployment positioned Mekari Qontak as the centralized CRM engine for customer service at Kompas, supporting ongoing monitoring and agent-assisted AI interactions. | |
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Sekolah Cikal | Education | 850 | $100M | Indonesia | Mekari | Mekari Qontak | CRM | 2023 | n/a | In 2023, Sekolah Cikal implemented Mekari Qontak as its CRM to consolidate omnichannel inquiries and formalize lead follow up for admissions and parent engagement. The deployment centralized inquiry capture across digital and telephony channels and positioned Mekari Qontak CRM as the primary system for intake, engagement, and registration workflows across the school. Primary modules implemented were the CRM core and omnichannel feature set, complemented by an automated chatbot configured to handle frequently asked questions and provide immediate first touch responses. Configuration work focused on unified contact records, automated inquiry routing to admissions staff, and workflow queues to manage lead stages and registration processing, establishing consistent handoff rules between inquiry intake and admissions operations. Governance changes included standardized lead follow up processes and ongoing maintenance of the chatbot knowledge base to keep FAQ automation current. The case study reports improved parent satisfaction and faster registration and lead handling, with measurable outcomes linked to the 2023/2024 and 2024/2025 academic years, indicating Mekari Qontak was used to support admissions, registration, and parent communication functions. | |
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Transgo Indonesia | Transportation | 25 | $1M | Indonesia | Mekari | Mekari Qontak | CRM | 2023 | n/a | Transgo Indonesia implemented Mekari Qontak CRM in 2023 to verify its WhatsApp Business account and deploy Chatbot AI together with omnichannel CRM workflows. The Indonesia focused deployment targeted customer service and support operations to enable continuous engagement across WhatsApp and other messaging channels. Mekari Qontak was configured with a verified WhatsApp Business integration, an AI chatbot for automated handling of routine inquiries, and CRM workflow automation to route and escalate conversations to human agents. Functional capabilities activated included omnichannel messaging, conversational automation, contact record synchronization, and response orchestration to provide 24/7 customer responses and automated handling of routine questions. Operational coverage remained Indonesia focused and impacted customer service and support functions. According to the vendor case study the deployment delivered up to an 80% efficiency improvement in customer service, approximately 90% of routine questions handled by the chatbot, and a reported uplift in revenue. Governance and rollout activities emphasized WhatsApp Business account verification and phased activation of chatbot flows and CRM automation to stabilize automated handling before scaling broader workflows. |
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