A soap exporter serving 30+ countries put an AI employee on inquiry duty — around the clock.

The business

Vascali is the consumer brand of PT Sunindo Bangun Kersana, a bar-soap manufacturer in Tangerang, Indonesia. Since 2010 it has grown to 2,000 MT of monthly production across three brands — Vascali, Amorish and Vea — exporting to more than 30 countries, with Halal, GMP and BPOM certification and a substantial OEM / private-label business.

Vascali already runs its order operations — blending to bill of lading — on Aourix, Neomeric’s lead-to-cash ERP for manufacturers. NeoMind is the second Neomeric product it has adopted.

The problem

A buyer in São Paulo or Rotterdam doesn’t inquire during Tangerang business hours. Export inquiries — MOQs, certifications, private-label options, quotation requests — arrived around the clock, but answers waited for the next Indonesian morning. For a B2B exporter, a two-day email round-trip is how a buyer ends up on a competitor’s shortlist.

What they deployed

Simon, NeoMind’s customer-facing AI employee, now runs on vascali.com. Its Brain is trained on Vascali’s product range, certifications, OEM process and export capabilities — so it answers specification, certification and private-label questions with grounded, accurate responses, captures the buyer’s details, and routes quotation requests to the sales team. When a conversation needs a human judgement — pricing negotiation, a custom formulation — Simon escalates rather than guesses. It never quotes a price or commits to terms on Vascali’s behalf.

Live today

Simon went live on vascali.com in June 2026, answering buyer inquiries around the clock.

“NeoMind has made our sales digital. International buyers get answers 24/7 now, instead of waiting for our morning — that puts us ahead of our competitors.”

Why it worked

One Brain, trained once on the catalog, answers every inquiry consistently — at 3am Jakarta time or 3pm. The knowledge that used to live in the export team’s inbox now works every hour the buyers do.

This is a deployment story. Before/after results — measured from an instrumented baseline — are added once they’re cleared, never invented.