CLIENT EXPERIENCES
What Our Clients Have to Say
Real feedback from organizations that have worked with us on AI integration projects across Thailand.
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Client Feedback
Operations Director, Bangkok
We brought ssyntharis in to audit our data infrastructure because we kept hearing we should "do something with AI" but had no idea where to start. Their report was the clearest picture we had ever seen of our own systems. They pointed out three areas where predictive models could help and two where we just needed cleaner data practices. That honesty saved us from spending money in the wrong places.
January 18, 2026
Supply Chain Manager, Chiang Mai
The demand forecasting model ssyntharis built cut our overstock by roughly 22% in the first quarter after deployment. What I appreciated most was the training they gave my team. Our analysts now understand how the model works and can flag when something looks off. We are not dependent on ssyntharis to babysit it, which was exactly the goal.
January 25, 2026
CEO, Retail Group, Phuket
Good experience overall. The audit was thorough and well-presented. One small criticism: the timeline slipped by about a week due to some complexity in our legacy systems that took longer to untangle. They communicated the delay early and adjusted the schedule, so it was not a serious issue, but worth mentioning.
January 12, 2026
CTO, Manufacturing, Rayong
We engaged ssyntharis for the full advisory service. They have been our AI strategy partner for three quarters now. The executive education sessions were particularly useful — my board went from skeptical to genuinely engaged. Having a dedicated consultant who knows our systems inside out makes a real difference when new questions come up.
February 1, 2026
Finance Lead, Chiang Rai
Their churn prediction model identified at-risk accounts about six weeks before we would have noticed through our usual checks. That early warning gave our retention team time to act. The ninety-day support period was helpful for recalibrating a few parameters as we gathered more data from the first live months.
January 30, 2026
Director, Logistics Firm, Bangkok
We started with a data audit, then moved to predictive analytics for route optimization. The phased approach worked well for us because we could see value from the audit before committing to a larger project. Documentation was excellent — our internal team picked things up without much friction.
January 8, 2026
CASE STUDIES
Project Highlights
Challenge
A mid-sized food distributor in Bangkok was losing margin due to overordering perishable goods. Their manual forecasting relied on the intuition of two senior buyers, and accuracy varied widely by product category and season.
Solution
ssyntharis built a demand forecasting model that combined historical sales data with external signals like holidays, weather patterns, and promotional calendars. The model was integrated into the distributor's existing ordering system as a recommendation layer.
Results
Waste from unsold perishables dropped by 19% over the first five months. The purchasing team reported spending roughly 30% less time on manual forecasting, freeing them for supplier negotiations and quality review.
"The model does not replace our buyers' judgment — it gives them a better starting point." — Procurement Director
Challenge
A hospitality group operating eight properties across northern Thailand wanted to use their guest data more strategically but had no centralized data system. Guest information sat in separate property management systems, email platforms, and spreadsheets.
Solution
ssyntharis conducted a Data Ecosystem Audit that mapped every data source and its quality level. The resulting roadmap prioritized consolidating guest records into a single platform before attempting any predictive work, along with three specific AI use cases to revisit once the foundation was in place.
Results
The group implemented the data consolidation recommendations over four months. When they returned for predictive analytics, the project started two weeks ahead of schedule because the data was already clean and structured. The repeat booking prediction model is now in its second quarter of live use.
"The audit was worth its weight in gold. It kept us from jumping into AI before we were ready." — Group IT Manager
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19/3 Nimmanhemin Road, Suthep,
Mueang Chiang Mai, Chiang Mai 50200
Mon – Fri: 9:00 AM – 6:00 PM
Sat: 10:00 AM – 2:00 PM
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