ABOUT STOKLENSA · BUILDING IN PUBLIC
Fresh produce inventory,
made easier to understand.
StokLensa is an independently developed, early-stage software project based in Jakarta, Indonesia. It explores practical ways to help small fruit retailers and fresh produce teams track stock, prioritize near-expiry batches, and make more informed restocking decisions.
What you can try today
- Free browser demo: local CSV inventory analysis, rule-based stock and freshness alerts, and a guided walkthrough.
- Browser Inventory Manager: fictional product records, received batches, stock movements and FEFO demonstrations saved in your browser.
- Cloud Beta v10: authenticated test store and product catalog, Stock In and Stock Out, batch-level FEFO allocation, expiry indicators and transaction history stored with Supabase.
Important: the browser demo and cloud beta are separate. The cloud beta remains experimental; do not enter confidential, real customer, supplier or employer data.
What is still planned
Claude-powered inventory insights, forecasting and smarter restock suggestions are a development roadmap, not features currently powered by Claude. Paid subscriptions, public production onboarding and commercial service guarantees are not available. Pricing on the homepage is concept research only.
How the project is built
The public site is deployed with Cloudflare Pages; source changes are managed through GitHub. Supabase provides authentication and test cloud inventory storage. This infrastructure is not evidence of incorporation, customer adoption, institutional funding or production readiness.
Who is behind StokLensa?
StokLensa is currently developed independently by Willson Alberto, who is exploring inventory software informed by practical fresh produce operations. This is a self-funded project under development, rather than a registered company or an established multi-person business.
Contact & transparency
Questions, beta feedback or collaboration enquiries: [email protected]. We publish development notes and a data handling notice, including limitations and testing warnings.
TENTANG STOKLENSA · PROSES PENGEMBANGAN TERBUKA
Persediaan buah segar,
lebih mudah dipahami.
StokLensa adalah proyek perangkat lunak tahap awal yang dikembangkan secara independen di Jakarta, Indonesia. Kami mengeksplorasi cara praktis membantu toko buah kecil dan pengelola produk segar mencatat stok, memprioritaskan batch mendekati kedaluwarsa, dan membuat keputusan restock dengan lebih jelas.
Yang sudah bisa dicoba
- Demo browser gratis: analisis CSV secara lokal, sinyal stok dan kesegaran berbasis aturan, serta panduan penggunaan.
- Inventory Manager di browser: data produk fiktif, penerimaan batch, transaksi stok, dan simulasi FEFO yang disimpan di browser.
- Cloud Beta v10: akun toko uji, katalog produk, Stok Masuk/Keluar, pengambilan stok FEFO berdasarkan batch, indikator kedaluwarsa, serta riwayat transaksi yang disimpan menggunakan Supabase.
Penting: demo browser dan beta cloud terpisah. Beta cloud masih eksperimental; jangan masukkan data rahasia atau data nyata pelanggan, pemasok, maupun tempat kerja.
Yang masih direncanakan
Insight inventaris berbasis Claude, prediksi kebutuhan stok, dan rekomendasi restock yang lebih cerdas masih berupa rencana, belum didukung Claude AI secara aktif. Langganan berbayar dan layanan produksi publik belum tersedia. Harga di beranda hanya konsep untuk riset.
Teknologi yang digunakan
Website publik berjalan melalui Cloudflare Pages; perubahan kode dikelola melalui GitHub. Supabase digunakan untuk autentikasi dan data inventaris cloud uji. Penggunaan teknologi ini bukan bukti perusahaan berbadan hukum, pelanggan aktif, pendanaan institusional, atau kesiapan produksi.
Siapa di balik StokLensa?
StokLensa dikembangkan secara independen oleh Willson Alberto, dengan fokus pada perangkat lunak inventaris yang relevan dengan kebutuhan operasional produk segar. Saat ini proyek dibiayai sendiri, belum merupakan perusahaan terdaftar maupun bisnis dengan tim besar.
Kontak & transparansi
Untuk pertanyaan, masukan beta, atau kolaborasi: [email protected]. Baca catatan pengembangan dan penjelasan penanganan data, termasuk batasan pengujian.