Key Takeaways
- The challenge: Hiring across 9 APAC markets, Traveloka ran outreach, assessments, and scheduling on separate tools (WhatsApp, HackerRank, Lark) that did not connect, making it hard to support hiring at scale across markets.
- The solution:
- One connected platform, automated hiring: Rather than replace its stack, Traveloka used Moka AI as the platform layer to connect all three tools and automate work across the hiring process, from candidate messaging to assessments, scheduling, and offers.
- Compliant, multi-channel outreach: WhatsApp and email now run in parallel with stage-based triggers, and templates adapt to each market's data-protection rules, keeping outreach compliant across all nine markets.
- The Result: Since going live in early 2026, Traveloka has run hiring across all nine markets on one platform, with 4,500+ interviews created, 2,800+ candidates recommended to hiring teams, 28,400+ resumes screened by AI, and 5,900+ interviews assisted by Moka AI.
- Final Thought: For fast-growing companies, hiring rarely breaks for lack of tools. It breaks when those tools work in silos. Traveloka's answer was not more software, but connecting what it already had, so hiring runs as one.
Background
Founded in 2012 and headquartered in Jakarta, Indonesia, Traveloka is Southeast Asia's No.1 all-in-one travel platform. Its app brings together flights, hotels, attractions, car rentals, financial services, and more, with more than 140 million downloads.
Today, Traveloka operates across 9 APAC markets, including Indonesia, Thailand, Vietnam, Singapore, Malaysia, the Philippines, Australia, Japan, and South Korea. With a team of more than 2,000 employees, Traveloka manages a highly distributed and international hiring operation.
Hiring at this scale outgrew Traveloka's manual recruiting setup, which could no longer keep up with so many markets at once. To move past these limits, Traveloka turned to Moka AI, an AI-native ATS built for enterprise hiring, with deep local-ecosystem integration and automation capabilities.
The Challenge
Outreach That Kept Hitting Limits
Traveloka reached candidates mainly through WhatsApp, and that single channel could not carry the load. WhatsApp's Business API limits proactive messaging: recruiters can freely communicate only within 24 hours after a candidate's last message, after which they must use pre-approved templates.
When WhatsApp failed, there was no alternative channel to reach candidates.
More concerningly, Traveloka used the same communication template across markets. It was not adapted to local requirements, including those in China. This created compliance risks as hiring scaled across regions.
Slow Handoffs, Lost Candidates
Traveloka's hiring relied heavily on manual collaboration. Every manual step slowed the process, causing candidates to drop off along the way.
Assessment came first. For technical roles, recruiters manually generated HackerRank test links and copied results, creating a repetitive process prone to errors. Scheduling was no different. Interviews synced to Lark calendars with no candidate or role attached, so every entry just read "Interview," and interviewers had to ask recruiters who they were meeting. Afterward, recruiters updated each result by hand.
At the offer stage, collaboration became even slower because approvers could not preview the offer content. Hiring managers and HR had to review offers through chat and email, going back and forth over screenshots and drafts.
Every change added another round of discussion, delaying the final decision. By the time an offer was ready, the strongest candidates with competing offers, had often already moved on.
Three Systems, One Broken Chain
Traveloka's recruitment workflow relied on Lark, HackerRank, and WhatsApp, but these systems were not connected. Recruiting data sat across three different systems, leaving recruiters without a clear view of the full pipeline or each candidate's status.
Reporting and review meant pulling numbers out of every system and compiling them by hand.
The Solution
A Wider, Compliant Outreach Layer
Moka AI rebuilt its outreach around two channels, with WhatsApp and email running in parallel. So when WhatsApp cannot reach a candidate, email picks up and no one falls out of the process.
Moka AI also tied each message to a hiring stage, so the initial link goes out once and does not repeat. This stage-based structure gives Traveloka a consistent framework for tailoring messages to each market.
Traveloka designs outreach templates around each market's compliance requirements, so candidate information is handled appropriately across all nine markets.
Connected Tools, Automated Hiring
Moka AI connected WhatsApp, Lark, and HackerRank for Traveloka, then ran as the platform layer that coordinates all three, automating work across the hiring process.
- Automated Candidate Messaging and Assessments
WhatsApp and email messages now send on their own based on the candidate stage. In the assessment step, Moka AI starts each test inside its ATS, generates the link, and sends it to the candidate without anyone lifting a hand.
Scores return to the system in real time, so Traveloka's recruiters read results in one place without switching between systems.
- Scheduling and Candidate Tracking, Connected Through Lark
Moka AI integrated deeply with Lark, the platform Traveloka already used. When an interview syncs to the Lark calendar, Moka AI names it by rule, adding the candidate, role, and round, so an entry reads "Jack, Backend Engineer, First Technical Round" instead of a blank "Interview." Interviewers now open the calendar and see exactly who they are meeting.
Beyond scheduling, Moka AI keeps its candidate records in sync. When a candidate's status changes, Moka AI automatically updates the Lark Base.
Recruiters also receive a reminder through a Lark message card, keeping them up to date without manual follow-up.
- One Source of Truth for Hiring Data
Data from all three platforms now flows into Moka AI and settles in one place. Recruiters can see every candidate's progress at a glance, all from a single dashboard. Each market's team sees its own pipeline live, while Traveloka tracks all nine markets together through Moka AI's Recruiting Analytics.
Reviews that once took manual effort now happen in real time, giving Traveloka a sharper basis for hiring decisions.
- AI Support Across the Hiring Funnel
Moka AI's built-in AI took on a significant share of the early-stage workload, particularly for Traveloka's technical role hiring. At the top of the funnel, AI sourcing and an AI chatbot helped reach and engage candidates.
AI Resume Screening processed more than 28,400 resumes, helping recruiters identify qualified candidates.
In interviews, Moka AI assisted more than 5900 interviews with AI Interview Questions and AI Interview Summaries to support a more consistent and efficient interview process.
Result
| Candidates Recommended to Hiring Teams | Interviews Created in Moka AI | Resumes Automatically Screened by Moka AI | Interviews Assisted by Moka AI |
|---|---|---|---|
| 2800+ | 4500+ | 28,400+ | 5,900+ |
Since going live in early 2026, Traveloka has been managing hiring at scale across regions, with hands-on support and weekly check-ins from Moka AI team during the first month.
Previously disconnected workflows now run together on one platform.
On that base, Moka AI automates the flow of actions and data across WhatsApp, Lark, and HackerRank, handling repetitive work that once fell to recruiters. That frees recruiters up to focus on candidates instead of admin.
Beyond workflow automation, Moka AI's AI capabilities help hiring run more smoothly at scale, from screening resumes to supporting interviews.
Together, these capabilities help Traveloka scale recruitment across nine markets—connecting teams, workflows, and data into a more efficient hiring operation built for cross-market growth.
Final Thought
For fast-growing companies, hiring rarely breaks because a team lacks tools. It breaks down when those tools operate in silos.
Traveloka already had strong systems in place: WhatsApp for outreach, HackerRank for assessments, Lark for collaboration and data. The gaps between them left recruiters manually copying data and chasing updates.
More tools aren't the answer. Better workflows are. Traveloka did not replace its existing tools. It connected them through Moka AI, turning fragmented processes into an automated hiring workflow.
That is exactly what Moka AI sets out to do: help enterprises build smarter workflows that support global hiring with consistency and visibility. Because hiring should never feel scattered—it should run as one.
