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CASE STUDY / ENTERPRISE ERP

Adhi CRM — Tender &
Qualification Intelligence

Turning fragmented tender data scattered across dozens of spreadsheets into AI-scored go/no-go decisions — one source of truth for every bid.

Enterprise ERP Predictive AI Data Viz Design System B2G

Role

Product Design · UX

Timeline

14 weeks · 2025

Platform

Desktop web app

01 — THE PROBLEM

Every decision lived in a different spreadsheet.

Bid teams juggled a folder of workbooks per project. By the time a status was typed, it was already stale — and there was no single place to see whether a tender was worth chasing.

✕ No single source of truth — data split across dozens of files.
✕ Status went stale the moment it was entered.
✕ ~6 hours / week / project lost to manual reporting.
✕ Go / no-go calls made on gut feel, not evidence.

app.adhi.co.id/project/tracker

No	Kode	Nama Proyek	Tipe	Progress	Status
1	PRJ-2401	Tol Trans-Sumatera Seksi 4	Infrastruktur	82%	Berjalan	⋮
2	PRJ-2402	Jembatan Musi VI	Infrastruktur	45%	Berjalan	⋮
3	PRJ-2403	Bendungan Karian	Sumber Daya Air	18%	Lelang	⋮
4	PRJ-2404	RS Umum Daerah Bekasi	Gedung	96%	Selesai	⋮
5	PRJ-2405	Tol Getaci Seksi 1	Infrastruktur	8%	Lelang	⋮
6	PRJ-2406	Gedung Perkantoran BUMN	Gedung	63%	Berjalan	⋮
7	PRJ-2407	SPAM Regional Jatiluhur	Sumber Daya Air	100%	Selesai	⋮

02 — THE SOLUTION

Score every bid before you commit.

A predictive engine reads a tender the moment it lands and returns a qualification score — explainable, not a black box, and built on one shared design system.

app.adhi.co.id/kualifikasi/prediksi

Tingkat Akurasi Model

88%

Confidence: High

Tentang Model Kualifikasi

ModelAdhiScore v2.4

Data Latih41 proyek

Terakhir Dilatih12 Jun 2025

MetodeGradient Boosting

Skor Kelayakan

Excellent

91 / 100 — Direkomendasikan untuk diikuti

No	Nama Proyek	Lokasi	Nilai	Durasi	Kemiripan
1	Tol Cisumdawu Seksi 2	Jawa Barat	Rp 2,1 T	30 bln	94%
2	Tol Balikpapan–Samarinda	Kalimantan Timur	Rp 3,4 T	36 bln	89%
3	Jembatan Teluk Kendari	Sulawesi Tenggara	Rp 1,2 T	24 bln	82%
4	Tol Padang–Pekanbaru Seksi 1	Sumatera Barat	Rp 2,8 T	33 bln	78%

A score before you commit

Every tender is qualified against 41 past projects the moment it lands — no more guessing which bids are worth the effort.

Not a black box

Each score shows the reference projects and factors behind it, so a bid director can trust — and challenge — the number.

One design system

Tracker, qualification and market views share the same components, so the whole team reads the same numbers the same way.

03 — THE IMPACT

Faster calls, better bids.

Within a quarter, qualification stopped being a bottleneck — and the win-rate on the tenders the team chose to chase moved with it.

Faster go / no-go

from ~6 hrs to under an hour per tender

More tenders reviewed

same team, far wider pipeline coverage

+0%

Higher bid win-rate

on qualified, AI-recommended tenders

app.adhi.co.id/market-info

Peluang Aktif

128

▲ 12

Nilai Pipeline

Rp 47 T

▲ 8,4%

Rata Kelayakan

▲ 5 pts

Direkomendasi

▲ 6

No	Nama Kegiatan Pasar	Sumber	Nilai Est.	Kategori
1	Pembangunan Jalan Tol Getaci	LPSE PUPR	Rp 4,2 T	Prioritas
2	Proyek Air Bersih SPAM Regional	LPSE PUPR	Rp 890 M	Potensial
3	Rehabilitasi Irigasi Jatiluhur	BBWS	Rp 320 M	Pantau
4	Pembangunan Bendungan Cibeet	LPSE PUPR	Rp 2,6 T	Prioritas
5	Revitalisasi Pelabuhan Patimban	KemenHub	Rp 1,4 T	Potensial

Have a data-heavy product that deserves better decisions?

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Adhi CRM — Tender &Qualification Intelligence