Case studies & real-world outcomes.

A mid-sized manufacturing client with three production sites and four warehouses was running operations across disconnected spreadsheets, WhatsApp groups, and a legacy accounting tool. Stockouts, production delays, and reconciliation errors were costing them an estimated 4 to 6 hours of management time per day.

We designed and built a unified ERP covering production planning, raw material procurement, multi-warehouse inventory, finished-goods tracking, sales orders, and integrated finance. The system pulls live data from the shop floor (via barcode scanners and shift submissions), pushes purchase requests automatically when stock dips below reorder points, and generates a daily executive dashboard delivered via WhatsApp at 7 AM.

Within three months of go-live, the client reported a 38% reduction in stockout incidents, daily reconciliation time dropped from 5 hours to under 30 minutes, and they decommissioned six legacy spreadsheets entirely. The system now serves 80+ daily users across three cities.

A growing F&B chain with 12 outlets was taking orders manually via WhatsApp. Each branch manager would copy messages into a spreadsheet, escalate by phone for stock confirmation, and re-key into the POS. Order errors were running at 8%, and lunch-rush capacity was capped by people, not kitchen.

We built a WhatsApp-first ordering bot that handles intent recognition, menu suggestions, dietary preferences, and dynamic outlet routing based on customer location. The bot integrates with the existing POS, validates stock in real time, and confirms orders with the kitchen automatically. A human only steps in for genuine exceptions (special requests, complaints).

The automation now handles 92% of incoming orders end-to-end, error rate dropped to under 1%, and the chain expanded to 18 outlets without hiring additional order-takers. Customer NPS improved from 41 to 67 within six months.

A regional clinic network was fielding the same 30 to 40 patient questions daily: clinic hours, doctor schedules, BPJS coverage, lab result turnaround, appointment changes. Front-desk staff were spending 60% of their time on phone and WhatsApp answering rather than serving in-person patients.

We built an AI assistant trained on the network actual SOPs, BPJS policies, doctor schedules, and FAQ history. The assistant runs on WhatsApp and the clinic website, handles multi-turn conversations in Indonesian and English, can book and reschedule appointments through the existing clinic management system, and politely escalates anything sensitive (medical advice, complaints) to a human within 30 seconds.

Deployment results: 78% of inbound inquiries are now fully handled by AI, average response time dropped from 23 minutes to under 10 seconds, and front-desk staff reclaimed an average of 4 hours per day for in-person patient care. Patient satisfaction scores on response speed rose 41%.

A specialty roaster with a cafe plus wholesale operation needed a POS that understood their actual workflow: single-origin lots tracked by harvest, roast profiles, wholesale customer pricing tiers, and barista shift accountability. Generic POS systems forced them into compromises: either no lot tracking, or a brittle 3-app stack with no shared data.

We built a focused POS and lightweight ERP from scratch covering green-bean inventory (by farm, lot, harvest), roast batch tracking with yield calculation, retail and wholesale price tiers, customer accounts with running balances, and per-barista shift reporting. The system runs on a tablet for the cafe, a web app for wholesale staff, and a public ordering page for wholesale customers.

The roaster now reconciles their books in 20 minutes per week instead of two full days per month. Inventory accuracy went from best-guess to genuinely real-time. Wholesale customers self-serve 80% of their reorders, freeing the wholesale lead to focus on new accounts and farmer relationships.

A logistics operator with 240 employees across drivers, warehouse, dispatch, and admin was managing HR through a mix of paper attendance sheets, an outdated payroll spreadsheet, and an HR consultant for compliance. Errors in overtime calculation, BPJS contributions, and shift premiums were creating monthly disputes and quietly bleeding cash through duplicated payments and missed deductions.

We built a focused HRIS covering employee records, geolocation-based attendance (mobile app), shift planning, overtime approval workflows, leave management, and an automated payroll engine that handles BPJS Kesehatan, BPJS Ketenagakerjaan, PPh 21, and shift premiums correctly. Payslips are sent via WhatsApp on the 25th of every month.

Monthly payroll processing time dropped from 11 person-days to under 4 hours. Calculation errors went to zero across 9 months of operation. The HR team now focuses on people development rather than data entry. The system was deployed for a fraction of the cost of comparable commercial HRIS solutions.

A growing e-commerce seller operated across Tokopedia, Shopee, Lazada, TikTok Shop, and a Shopify storefront with 4,000+ SKUs. Inventory drift was constant: oversells, stockouts on listed-as-available items, and 6+ hours per day spent manually syncing stock across platforms.

We built a central inventory and order hub that talks to each marketplace via their official APIs. Stock is reconciled every 2 minutes, orders flow into a single fulfillment queue, and the warehouse team scans a barcode to mark items shipped, which updates every marketplace simultaneously. A dashboard shows real-time channel performance, fast-movers, and dead stock by warehouse.

Oversells dropped from around 30 per month to under 3. The 6 daily hours of inventory syncing became 15 minutes of exception review. The seller scaled SKUs by 60% in 6 months without adding warehouse headcount.