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Soreva.id is an IT solutions company for businesses that sell — wholesalers, distributors, brands, retailers. We build the commerce backbone: from ordering portals to the ERP behind them, the channels in front of them, and the AI that makes the whole thing smarter.
Wholesale ordering portals, dealer & distributor apps, price lists per customer tier, credit limits, quotations-to-invoice — the machinery of selling in bulk.
Inventory, warehouse (WMS), purchasing, sales, accounting, finance, HRM, manufacturing. One database, one truth. Our flagship: SOREVA CORE.
Marketplace sync (Shopee, TikTok Shop), D2C storefronts, POS for physical stores, dropship & reseller networks — one stock pool feeding every channel.
Demand forecasting, product recommendation, semantic search, AI consultants and agents wired into your real operational data — not a chatbot bolted on the side.
Our current flagship. A full ERP for commerce businesses in Indonesia, built and operated by Soreva.id. Live, deployed, and growing every week.
Most ERPs were designed for a factory in 1998. SOREVA CORE was designed for a business that sells on Shopee in the morning, ships from two warehouses at noon, and closes the books at night.
We sit with your ops team, read your spreadsheets, watch the warehouse. We map the real process — not the org chart.
1–2 WEEKSShip a working slice in weeks, on top of our platform. You click real buttons on real data, and we iterate on what you see.
SPRINTSMigration, training, go-live. Staged rollouts per warehouse or channel, so the business never stops running.
GO-LIVEWe stay on. Monitoring, new modules, integrations, AI features — your system keeps gaining XP after launch.
ONGOINGWe think like people who take systems apart — curious, fast, allergic to bureaucracy — and we deliver like people who run them: audited, documented, boring where it should be boring.
STATS PULLED FROM THE SOREVA CORE CODEBASE AND STAGING INFRA. NO INFLATED CLIENT COUNTS.
Tell us what you sell, where you sell it, and what breaks every month. We'll come back with a map — and usually a demo on your own data.