Real Results From Real Businesses

The migration advisory service helped us move our ERP system to the cloud without the confusion we feared. Their team evaluated three platforms based on our actual requirements rather than pushing a preferred vendor. The phased approach meant we could validate each stage before committing to the next. Five months in, our operations team is managing the cloud infrastructure independently.

January 14, 2026

We implemented their analytics suite to understand inventory patterns across our retail locations. The predictive models caught seasonal trends our manual analysis was missing. Stock-outs decreased by 34% in the first quarter, and overstock situations dropped even more. The training sessions worked well for our team members who were initially hesitant about using AI tools. Now they check the dashboard first thing each morning.

January 28, 2026

The transformation office service gave us access to specialists we couldn't justify hiring full-time. Their data scientist identified opportunities in our financial data that we knew existed but couldn't extract ourselves. Working in sprints kept the project moving forward even when our internal priorities shifted. The only minor challenge was coordinating meeting times across departments, but that improved as the team learned our rhythm.

January 09, 2026

What impressed me most was their patience explaining technical concepts to non-technical stakeholders. The board needed to understand what we were investing in, and the Zeranova team presented the migration plan in business terms rather than IT jargon. Documentation came in both English and Thai, which helped our multilingual staff. The knowledge transfer approach meant we weren't dependent on them for routine maintenance after go-live.

January 21, 2026

The analytics dashboard transformed how we allocate marketing budget. Customer behavior predictions helped us focus resources on high-probability conversions rather than spreading efforts evenly. Campaign ROI improved noticeably within two months. The anomaly detection caught a data integration error that our manual reporting would have missed until month-end. Minor learning curve for the team, but the training sessions addressed most concerns.

February 02, 2026

Demand forecasting accuracy went from roughly 70% to over 88% after implementing their machine learning models. This directly reduced emergency shipments and stockout situations that were costing us both money and customer satisfaction. The system factors in seasonal patterns, promotional events, and external market conditions that our spreadsheet-based forecasting couldn't handle. Support has been responsive when we've had questions.

January 18, 2026

We engaged the transformation office service to analyze employee turnover patterns and identify retention risk factors. The insights drove changes to our compensation structure and work arrangements that had measurable impact. Turnover in critical roles decreased by 19% over six months. The team worked well with our existing HR systems and provided recommendations that were realistic to implement given our organizational constraints.

January 25, 2026

The migration planning identified technical debt in our legacy systems that needed addressing before cloud transition. While this extended the timeline slightly, it prevented what would have been significant issues post-migration. Their platform-agnostic stance helped us select the cloud provider that actually fit our needs rather than whoever had the best sales pitch. Security compliance requirements for financial data were handled thoroughly throughout.

February 01, 2026

Sales forecasting models helped us allocate resources to opportunities with higher conversion probability. The system pulls data from our CRM and applies machine learning to predict deal closure likelihood. Our sales team was initially skeptical but came around when the predictions proved more accurate than their gut feelings. Now they use the insights to prioritize their time and adjust approach based on customer behavior patterns the system identifies.

January 12, 2026