Used-Car Financing — From WhatsApp to One-Day ApprovalPembiayaan Mobil Bekas — Dari WhatsApp ke One-Day Approval
The 0→1 digitalization that turned a loss-making line profitableDigitalisasi 0→1 yang membalikkan lini merugi menjadi untung
"Treat low risk like low risk." — the idea the whole redesign hung on.
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Snapshot
| Role | Product Manager — led 5 Product Owners & 20 engineers |
| Company | PT KB Finansia Multi Finance (KreditPlus) |
| Timeline | 2023 – 2025 (turnaround Jan → Jul 2023) |
| Team | 5 POs, 20 engineers + Operations, Risk, Compliance, IT |
| Domain | Acquisition + Credit Journey |
| Recognition | 🏆 Company-wide Best Product Vision Award 2024 |
TL;DR
Used-car financing ran on verbal and WhatsApp dealer submissions, all keyed in by marketing — and every customer, low or high risk, went through the same heavy 3–5 day process. Low-risk customers waited as long as high-risk ones, dealers had zero visibility, and the line was losing money.
I led the 0→1 digitalization: a credit journey that adapts to risk, plus a self-service dealer app. SLA dropped 5 days → 1 day 6 hours, monthly disbursement grew +41% (IDR 85B → 120B), and I contributed to the line returning to profitability (−IDR 8B → +IDR 25B over 2023). The work earned the company-wide Best Product Vision Award 2024.
This case study is about a single product idea — match the process to the risk — and the operational change it took to ship it inside a regulated lender.
1. Context
In used-car financing, dealers are the front door — but they were submitting deals over WhatsApp and phone calls, and marketing re-keyed everything by hand. There was no digital funnel, no status visibility, and no way for the business to see where deals stalled.
2. The Problem — "Every customer paid for the slowest customer's risk."
Three things were true at once: - One-size-fits-all credit treatment. Low-risk and high-risk customers were both surveyed, analyzed, and committee-approved — so safe customers were punished with the same wait. - No transparency for dealers. Status, incentives, and customer data were invisible to them because marketing owned all the input. - Dealers were starved of working capital. They needed fast funding to buy stock, but the loan process was slow and conventional.
"A good customer and a risky one wait the same five days — and I lose the good ones first." — a partner dealer
The real problem wasn't "approve faster." It was: "stop making low-risk customers wait, and let dealers serve themselves."
3. Discovery — Listening to dealers, segmenting by risk
- A large, safe cohort was hiding in the queue. Segmenting applications by risk showed many low-risk deals being slowed for no reason.
- Opacity was costing real deals. Dealer interviews surfaced that slow, black-box turnaround made buyers walk.
- Dealers wanted autonomy, not hand-holding. They wanted to input, track, and fund without going through marketing.
4. The Strategic Bet — Differentiate the journey by risk
Rather than speeding up one universal pipeline, I bet on splitting the journey by risk profile and giving dealers a self-service surface — so speed comes from doing less for safe customers, not from rushing everyone.
5. Prioritization & Trade-offs — Deciding what to build first
Decision 1 — Risk-tiered journey as the core: - Low risk → One Day Approval, no survey, auto-decided by the credit engine. - Medium risk → silent survey (verification without a face-to-face), then CA + committee. - High risk → full regular survey + CA + committee.
Trade-off: One Day Approval leans on the credit engine's confidence, so I scoped it to the clearly low-risk band first and widened it as the model proved out.
Decision 2 — Dealer self-service app over more internal tooling. Stock management, application input & tracking, and self-service working-capital requests went to the dealers themselves — turning marketing from a bottleneck into a support function.
Decision 3 — Profitability as the headline metric. With Ops and Risk, I made the line's P&L (not just TAT) the scoreboard, which kept the team honest about quality of approvals, not just speed.
6. Execution — Leading a multi-squad org under OJK rules
- Led 5 Product Owners and 20 engineers in Agile/Scrum on quarterly OKR cycles.
- Partnered with Operations, Risk, Compliance, and IT; tracked conversion, TAT, and dealer satisfaction in monthly reviews.
- Sequenced the rollout so the risk-tiering and the dealer app reinforced each other rather than launching cold.
7. Impact
- SLA: 5 days → 1 day 6 hours
- Monthly disbursement: +41% (IDR 85B → IDR 120B)
- Line profitability (contributed to): −IDR 8B → +IDR 25B over 2023
- 🏆 Best Product Vision Award 2024 (company-wide)
8. Reflections — What I'd carry forward
- Speed can come from subtraction. The biggest unlock was doing less for safe customers, not rushing everyone.
- Partner self-service compounds. When dealers can serve themselves, volume follows — and your team scales without growing.
- Tie the work to P&L. Making profitability the scoreboard aligned speed with sound credit.
Prepared by Hamdan Fauzi — Product Manager. Some figures generalized for company confidentiality. Happy to walk through the full version in conversation.
"Perlakukan risiko rendah selayaknya risiko rendah." — gagasan yang menjadi tumpuan seluruh perombakan.
Snapshot
| Peran | Product Manager — memimpin 5 Product Owner & 20 engineer |
| Perusahaan | PT KB Finansia Multi Finance (KreditPlus) |
| Timeline | 2023 – 2025 (turnaround Jan → Jul 2023) |
| Tim | 5 PO, 20 engineer + Operations, Risk, Compliance, IT |
| Domain | Akuisisi + Journey Kredit |
| Penghargaan | 🏆 Best Product Vision Award 2024 (tingkat perusahaan) |
TL;DR
Pembiayaan mobil bekas berjalan di atas pengajuan dealer via lisan dan WhatsApp, semuanya diinput marketing — dan setiap konsumen, risiko rendah maupun tinggi, melewati proses berat 3–5 hari yang sama. Konsumen low risk menunggu selama high risk, dealer tanpa visibilitas, dan lini-nya merugi.
Saya memimpin digitalisasi 0→1: journey kredit yang menyesuaikan risiko, plus aplikasi mandiri untuk dealer. SLA turun 5 hari → 1 hari 6 jam, disbursement bulanan tumbuh +41% (Rp 85 miliar → 120 miliar), dan saya berkontribusi pada lini yang kembali profit (−Rp 8 miliar → +Rp 25 miliar sepanjang 2023). Karya ini meraih Best Product Vision Award 2024 (tingkat perusahaan).
Studi kasus ini tentang satu gagasan produk — sesuaikan proses dengan risiko — dan perubahan operasional untuk mewujudkannya di dalam lender ter-regulasi.
1. Konteks
Di pembiayaan mobil bekas, dealer adalah pintu depan — tapi mereka mengirim pengajuan lewat WhatsApp dan telepon, lalu marketing mengetik ulang semuanya secara manual. Tak ada funnel digital, tak ada visibilitas status, dan bisnis tak bisa melihat di mana deal tersendat.
2. Masalah — "Setiap konsumen membayar untuk risiko konsumen paling lambat."
Tiga hal terjadi bersamaan: - Perlakuan kredit seragam. Konsumen low risk dan high risk sama-sama disurvey, dianalisa, dan diputus komite — jadi konsumen aman dihukum dengan waktu tunggu yang sama. - Tidak ada transparansi bagi dealer. Status, insentif, dan data konsumen tak terlihat oleh mereka karena marketing memegang semua input. - Dealer kekurangan modal kerja. Mereka butuh pendanaan cepat untuk beli stok, tapi proses pinjamannya lambat dan konvensional.
"Konsumen bagus dan konsumen berisiko sama-sama nunggu lima hari — dan yang bagus duluan yang kabur." — seorang dealer mitra
Masalah sebenarnya bukan "percepat persetujuan." Melainkan: "berhenti membuat konsumen low risk menunggu, dan biarkan dealer melayani diri sendiri."
3. Discovery — Mendengarkan dealer, menjenjangkan berdasarkan risiko
- Ada kelompok besar yang aman tersembunyi dalam antrean. Segmentasi pengajuan berdasarkan risiko menunjukkan banyak deal low risk diperlambat tanpa alasan.
- Ketidaktransparanan bikin deal hilang. Wawancara dealer mengungkap bahwa proses lambat dan seperti kotak hitam membuat pembeli kabur.
- Dealer ingin otonomi, bukan dituntun. Mereka ingin input, memantau, dan mendanai tanpa lewat marketing.
4. Taruhan Strategis — Bedakan journey berdasarkan risiko
Alih-alih mempercepat satu pipeline universal, saya bertaruh pada memecah journey berdasarkan profil risiko dan memberi dealer permukaan layanan mandiri — sehingga kecepatan datang dari melakukan lebih sedikit untuk konsumen aman, bukan dari menggesa semua orang.
5. Prioritas & Trade-off — Menentukan apa yang dibangun lebih dulu
Keputusan 1 — Journey berjenjang sesuai risiko sebagai inti: - Low risk → One Day Approval, tanpa survey, diputus otomatis oleh credit engine. - Medium risk → silent survey (verifikasi tanpa harus bertemu muka), lalu CA + komite. - High risk → survey reguler penuh + CA + komite.
Trade-off: One Day Approval bersandar pada keyakinan credit engine, jadi awalnya saya batasi ke pita yang jelas low risk dan diperluas saat model terbukti.
Keputusan 2 — Aplikasi mandiri dealer, bukan menambah tooling internal. Manajemen stok, input & pelacakan pengajuan, serta pengajuan modal kerja mandiri diserahkan ke dealer sendiri — mengubah marketing dari bottleneck menjadi fungsi pendukung.
Keputusan 3 — Profitabilitas sebagai metrik utama. Bersama Ops dan Risk, saya jadikan P&L lini (bukan cuma TAT) sebagai papan skor, yang menjaga tim tetap jujur soal kualitas persetujuan, bukan sekadar kecepatan.
6. Eksekusi — Memimpin organisasi multi-squad di bawah aturan OJK
- Memimpin 5 Product Owner dan 20 engineer dalam Agile/Scrum bersiklus OKR kuartalan.
- Bermitra dengan Operations, Risk, Compliance, dan IT; memantau konversi, TAT, dan kepuasan dealer dalam review bulanan.
- Mengurutkan rollout agar risk-tiering dan aplikasi dealer saling memperkuat, bukan diluncurkan dingin.
7. Dampak
- SLA: 5 hari → 1 hari 6 jam
- Disbursement bulanan: +41% (Rp 85 miliar → Rp 120 miliar)
- Profitabilitas lini (berkontribusi): −Rp 8 miliar → +Rp 25 miliar sepanjang 2023
- 🏆 Best Product Vision Award 2024 (tingkat perusahaan)
8. Refleksi — Yang akan saya bawa terus
- Kecepatan bisa datang dari pengurangan. Unlock terbesar adalah melakukan lebih sedikit untuk konsumen aman, bukan menggesa semua.
- Layanan mandiri mitra berlipat ganda. Saat dealer bisa melayani diri sendiri, volume mengikuti — dan tim kamu menskala tanpa membesar.
- Kaitkan pekerjaan ke P&L. Menjadikan profitabilitas papan skor menyelaraskan kecepatan dengan kredit yang sehat.
Disusun oleh Hamdan Fauzi — Product Manager. Sebagian angka digeneralisasi demi kerahasiaan perusahaan. Dengan senang hati menjelaskan versi lengkapnya secara langsung.