From Hype to Results: Techvify Demonstrates Real AI Impact at AI+ UNLIMITED FUTURE 2025
- TECHVIFY Team
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On July 19, 2025, Ho Chi Minh City’s Pavilion Tan Son Nhat became the epicenter of Vietnam’s AI revolution. Over 500 business leaders, entrepreneurs, and tech innovators gathered for AI+ UNLIMITED FUTURE 2025 – a 12-hour intensive conference dedicated to transforming AI from buzzword to business reality.
Among the lineup of industry experts addressing practical AI implementation, Techvify’s Chris Nguyen, Senior Manager of AI & Strategic Partnerships, took the stage to tackle one of the most pressing questions facing businesses today: “We know AI is hot, but how do we actually use it to solve real problems and generate results?”
His session, “AI in Retail & E-commerce – From Trend to Tangible Impact,” delivered exactly what the audience needed – concrete answers backed by real data and proven success stories.
II. Vietnam’s AI Reality Check
AI+ UNLIMITED FUTURE 2025 marked a turning point for Vietnam’s digital transformation. Organized by VDBG and BossKOL, the conference focused on practical applications rather than theoretical discussions – giving businesses concrete tools to use AI for real competitive advantage.
The ambitious 12-hour format showed how urgent Vietnamese companies feel about AI adoption. Traditional enterprises wanted to modernize their operations while startups sought AI-powered growth. All attendees shared one goal: moving beyond the hype to achieve real business results.
Chris Nguyen’s session tackled this challenge head-on for retail and e-commerce – industries where AI adoption can determine success in today’s fast-moving digital market. With over 20 expert speakers sharing insights from across Southeast Asia, the event created space for honest, results-focused conversations about what actually works in AI implementation.
III. The Numbers Don’t Lie: AI Goes Mainstream
Chris opened his presentation with a wake-up call that grabbed everyone’s attention: 69% of Southeast Asian enterprises now view AI as essential to their business strategy, according to IBM’s 2024 SEA Report. This means AI has crossed the line from “nice to have” to “must have” for survival.
In retail and e-commerce, this shift feels even more urgent. Companies handling thousands of daily customer interactions across platforms like Shopee, Lazada, Tiki, and TikTok Shop face a simple reality – manual processes can’t keep up with digital demand. The businesses winning today use AI to handle repetitive tasks, predict customer needs, and optimize operations in ways that would be impossible with traditional methods.
The message was clear: AI adoption has moved from experimental to essential. Companies still asking “Should we use AI?” have already fallen behind those asking “How do we use AI better?”
IV. Where AI Actually Works: Real Results from Real Businesses
Chris didn’t just talk theory – he showed exactly where AI delivers measurable impact in retail operations.
Customer Service: The Quick Win
With 30% of customer inquiries being repetitive questions, AI chatbots offer immediate relief. Chris shared results from a leading e-commerce enabler managing over 1,000 online stores who deployed Techvify’s AI automation tools:
- 70% faster response times – customers get answers instantly instead of waiting hours
- 35% reduction in agent workload – human staff focus on complex issues that actually need their expertise
- Unified platform management – one system handles inquiries across all sales channels
The bonus? Smart product recommendation engines boosted cart sizes and conversion rates by 10-15%, turning customer service into a revenue driver.
Demand Forecasting: The Hidden Game-Changer
While chatbots get attention, AI quietly transforms inventory planning behind the scenes. A regional distributor working with Techvify saw dramatic improvements:
- 25% better demand prediction accuracy – fewer stockouts and overstock situations
- 15% lower warehousing costs – optimized inventory levels reduce storage needs
- Significant reduction in lost sales – products available when customers want them
According to McKinsey research, AI-powered forecasting can reduce supply chain errors by 30-50% – numbers that directly impact profit margins.
V. The Hard Truth: Why Most AI Projects Fail
Despite growing interest and proven benefits, Chris addressed an uncomfortable reality facing the industry. Most AI initiatives never make it past the pilot stage, with only 20% of AI projects globally reaching production according to Gartner’s 2023 research.
The Data Problem
Many companies jump into AI without preparing their foundation. Siloed systems and messy data create immediate roadblocks. AI models need clean, organized information to work effectively, but most businesses discover their data lives in disconnected systems that don’t communicate with each other.
Unclear Success Metrics
Companies often start AI projects without defining what success looks like. Without clear ROI models and measurable goals, teams struggle to prove value or justify continued investment. Projects drift without direction, eventually losing executive support.
The Skills Gap
Internal technical expertise remains scarce. Many organizations lack the specialized knowledge needed to implement, maintain, and optimize AI systems. This forces reliance on external partners or results in projects that work in demos but fail in real-world conditions.
Fear of Change
The biggest barrier might be psychological. Fear of high costs, complex implementations, or “big bang” transformations paralyzes decision-making. Companies wait for perfect conditions that never arrive, while competitors gain advantages through imperfect but functional AI solutions.
VI. Techvify’s Blueprint: Making AI Work in Practice
Chris emphasized that successful AI implementation requires more than sophisticated algorithms – it demands a business-first approach that prioritizes real problems over flashy technology.
- Start with Clear Problems
Rather than asking “How can we use AI?” successful companies ask “What specific business challenge needs solving?” Techvify works with clients to identify pain points where AI can deliver measurable improvement, whether that’s reducing response times, improving forecast accuracy, or streamlining operations. - Define Success Upfront
Every AI project begins with concrete success metrics. Teams know exactly what improvement they’re targeting – 50% faster processing, 20% cost reduction, or 15% revenue increase. This clarity keeps projects focused and makes ROI easy to measure. - Ensure Data Readiness
Before building any AI solution, Techvify helps clients audit and prepare their data infrastructure. Clean, accessible data forms the foundation for effective AI – no amount of advanced modeling can overcome poor data quality. - Partner with Proven Expertise
Chris highlighted Techvify’s track record of delivering AI solutions long before the ChatGPT boom created market hype. The company has helped clients across APAC with customer experience automation, generative AI chatbots for internal knowledge systems, and AI-powered document processing for invoices and contracts.
“AI isn’t magic – but with the right use case and execution, it’s the most powerful tool we have to optimize and scale,” Chris told the audience. The key lies in treating AI as a business solution first, and a technology second.
VII. What’s Next: From Conference Insights to Business Action
The AI+ UNLIMITED FUTURE 2025 conference successfully moved conversations from theory to practice, with Chris’s session providing attendees clear frameworks for AI implementation. To continue this momentum, Techvify is offering $5,000 value AI workshops to help businesses identify specific use cases, assess data readiness, and create realistic implementation roadmaps.
For companies ready to move from AI curiosity to results, the next step involves honest assessment and focused action. Those interested in exploring AI transformation can access Chris’s presentation materials and connect with Techvify’s team at techvify.com – proving that Vietnam’s business community is ready to make AI work in practice, not just in theory.