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Ready to Elevate Your Business with AI?

Partner with nerinoxzo for practical AI integration and clear performance metrics.

  • 1.

    Book a consultation

  • 2.

    Define project scope

  • 3.

    Launch pilot solution

Follow these steps to transform your data into actionable insights and operational improvements.

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50+ Clients Served
10,000+ Development Hours

nerinoxzo works with retail, manufacturing, management, healthcare, and logistics clients in Thailand. For example, we developed a demand forecasting tool for a nationwide retailer and a quality inspection system for an electronics assembly plant.

Project timelines depend on scope and data readiness. A small proof-of-concept phase can take 6–8 weeks, while full deployments range from 4–6 months, including data preparation, model training, integration, and validation.

We offer subscription-based access to cloud services, fixed-fee project engagements, and retainer agreements for ongoing support. Each proposal aligns costs with deliverables and milestones to ensure budget predictability.

Yes. Our team specializes in API-based integrations with ERP, CRM, and IoT platforms. We recently connected a predictive maintenance model directly to a factory’s SCADA system for real-time alerts.

We handle data engineering, model development, and deployment. Your team’s role typically includes providing domain expertise, validating outputs, and facilitating system access during the initial phases.

We follow industry best practices, encrypt data at rest and in transit, and comply with Thai PDPA requirements. Access controls and regular security audits safeguard sensitive information.

Yes. We provide on-site or remote training sessions, detailed documentation, and support packages for model monitoring, updates, and troubleshooting.

Success metrics are defined during project planning and can include accuracy improvements, cost reductions, processing time savings, or revenue impact. We use dashboards to track KPIs over time.

Begin with an initial consultation to discuss objectives and data availability. We then prepare a proposal outlining scope, timeline, deliverables, and costs.

We recommend a pilot phase to validate assumptions and demonstrate value. Pilots typically focus on a single use case over 6–8 weeks before scaling to full production.

AI Success Stories

Real-World Applications

Retail Sales Forecasting

A leading Thai retailer collaborated with nerinoxzo to deploy a machine learning model that predicts daily sales by SKU and location. The model reduced overstock by 18% and improved shelf availability across 120 stores.

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Customer Support Chatbot

For an online service provider, nerinoxzo built a conversational AI chatbot that handles password resets, billing inquiries, and appointment scheduling. Response times dropped by 60% and client satisfaction scores rose significantly.

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Optimized Logistics with Neural Forecasting

In a recent engagement, Nerinoxzo deployed time-series neural networks to forecast inventory needs for a regional distributor in Pattani. By integrating historical sales data and seasonal trends, the model accurately predicted supply requirements, reducing overstock by 22% within two quarters.

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