How Versich embedded end-to-end artificial intelligence across a $30M+ essential oils operation, from production floor to e-commerce.
The client had built a sophisticated multi-channel manufacturing operation, but its decision-making infrastructure had not kept pace. Data lived in silos, forecasting was manual and reactive, and production scheduling relied on institutional knowledge rather than intelligent systems. Leadership recognised that AI was not just an operational upgrade but an existential necessity. The mandate was unambiguous: make AI the central nervous system of the entire business.
Demand planning was manual and inconsistent across wholesale, private label, and e-commerce channels, leading to chronic overstock and stockout cycles.
Scheduling across 8 filling lines lacked optimisation logic, resulting in avoidable downtime, suboptimal sequencing, and production bottlenecks.
NetSuite and Shopify operated in isolation, with no unified data layer, no real-time inventory sync, and no cross-channel visibility.
With $30M+ in annual supplier spend, there was no predictive procurement model, leaving significant cost optimisation opportunities unrealised.
Manual blending processes generated avoidable waste, and quality anomaly detection relied entirely on human inspection rather than systematic data analysis.
Versich deployed a phased, execution-first methodology, not a strategy deck. Every engagement phase was structured around shipping production-ready AI into live systems, with measurable outcomes validated at each milestone.
AI Opportunity and Systems Audit
Versich conducted a comprehensive audit of all NetSuite and Shopify workflows, data structures, and user journeys. We identified high-impact AI opportunities across every department, defined required data layers, integration points, and prompt architectures, and delivered a prioritised AI roadmap with full implementation architecture.
End-to-End AI Development and Deployment
Versich designed, built, and deployed AI solutions across demand forecasting and MRP, production scheduling and OEE optimisation, procurement automation, blend optimisation, predictive maintenance, anomaly detection and QA insights, and HR analytics. Each system was production-grade on day one.
ERP and E-Commerce Integration
Deep integration with NetSuite via SuiteScript, custom records, and automated workflows. Shopify integration enabled real-time inventory synchronisation, order flow intelligence, and customer behavioural insights. Versich built all APIs, microservices, and ETL data pipelines connecting the full operational stack.
Documentation, Training, and Adoption
Every AI system was accompanied by clear technical documentation and user-facing SOPs. Versich ran structured internal training programmes across departments and established weekly progress reviews and monitoring protocols to sustain performance at scale.
This engagement was enterprise-wide by design. Versich deployed AI solutions across the full organisational structure, connecting every function into a single, intelligent operational layer.
Planning and Forecasting
Purchasing and Supplier Management
Production and Blending
Bulk B2B and Hazmat Operations
Warehousing and Inventory
Shipping and Logistics
Accounting and Cost Analysis
Quality Control and Compliance
Maintenance and Equipment
Customer Service and Private Label
HR and Recruiting
Amazon and New Product Launches
The mandate was not to advise. It was to build production-ready AI systems inside live operational infrastructure, with measurable business outcomes from day one.
- VERSICH ENGAGEMENT PHILOSOPHY
