How is a Thai ERP vendor using AI to turn its platform into “the brain of the business” and slash system costs at the same time?
Dynamics Motion has launched a new version of MotionERP that embeds Google Gemini as its reasoning engine, positioning itself as the first Thai ERP provider to wire generative AI directly into core workflows and claiming more than a 3.5x reduction in system costs for customers.
Google Gemini Inside MotionERP
At a December 22 event, Nattawat Lertpanithan, managing director and business technology lead at Dynamics Motion, unveiled the new MotionERP release and framed it as a turning point for Thailand’s ERP market. By integrating Google Gemini, the company says it has moved beyond basic analytics to an AI‑driven “brain of the business” that can process complex relationships across sales, orders, accounts, inventory, and cash flow in real time.
Executives argued this matters because most leaders still analyze performance in “two to three dimensions,” whereas the AI layer in MotionERP can connect up to 10 dimensions within seconds to surface cause‑and‑effect patterns across departments. In production use, Dynamics Motion reports that adopting MotionERP has already improved operational efficiency by more than 30%, with the Gemini integration accelerating day‑to‑day analysis and decision‑making.
N. Lertpanithan estimates Thailand’s ERP systems market, currently valued at around 12 billion baht (approximately $380 million), could nearly triple to approximately 30 billion baht (approximately $950 million) by 2030 as more organizations formalize processes and data foundations. Against that backdrop, Dynamics Motion expects the AI‑powered MotionERP launch to show “exponential” growth, targeting 1 billion baht (approximately $32 million) in revenue within five years and a leading position in manufacturing plants and SMEs.
The new MotionERP version is expected to reduce system costs by more than 3.5 times compared to the previous release, a claim Dynamics Motion links to cloud economics, automation, and Gemini‑driven efficiency in analysis and operations.
Real-Time Intelligence Across Domains
MotionERP is a cloud ERP suite that spans financials, procurement, project management, supply chain, planning, and embedded business intelligence (BI). The Gemini integration is designed to sit across those modules. N. Lertpanithan highlighted use cases where the AI layer can identify supply‑chain bottlenecks before they cause damage, analyze raw material and line readiness to confirm whether all orders can be fulfilled, and integrate financial signals into forward‑looking cash‑flow views to support investment decisions and opportunity capture.
A key design goal is speed and simplicity. Users can access relevant insights “with a single click,” rather than manually collecting data from multiple systems, and can trigger automations by sending images or documents the AI then processes inside the ERP environment in seconds. Dynamics Motion positions this as a way for teams to work faster without exporting data to external tools, keeping sensitive information inside the MotionERP/Gemini security perimeter.
Paweerat Lertpanithan, director and head of business solutions, stressed that modern businesses need ERP as a “centralized hub for work and data,” enabling all functions to operate from the same dataset to reduce redundancy, minimize errors, and make faster decisions from sales and inventory through to cash flow and costs. As AI becomes a standard tool, P. Lertpanithan argued, the organizational problem is shifting from “collecting data” to “using data” for summarization, anomaly detection, recommendations and automation that can be driven directly from ERP without exporting data beyond company control.
What This Means for ERP Insiders
Embedded AI will increasingly differentiate regional ERP providers. Dynamics Motion’s move to integrate Google Gemini directly into MotionERP shows how local vendors can use global AI platforms to deliver multi-dimensional analysis, anomaly detection, and automation inside line‑of‑business workflows, rather than leaving customers to bolt AI on from the outside.
Data localization and in‑platform AI are strategic selling points. By keeping AI reasoning “within the framework of the ERP system” and minimizing exports to external tools, Dynamics Motion is tapping into growing concern about data governance and latency in AI projects. ERP programs that combine strong data foundations with in‑platform AI—instead of scattered experiments—will be better placed to turn generative models into concrete operational gains and cost reductions.
Multi-tenant SaaS ERP customers should still pay attention. Even where patching and infrastructure are vendor-managed, the MotionERP example shows the real differentiator is how well ERP vendors turn that stable base into AI-driven forecasting, anomaly detection, and decision support, not just reporting dashboards. Buyers evaluating cloud ERP roadmaps should ask not only about model partnerships like Gemini, but also about in-ERP use cases, security boundaries, and cost-to-value ratios.
