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Real-World AI Deployments: Case Studies from Technast Clients

Real-World AI Deployments: Case Studies from Technast Clients

At Technast, AI isn’t theory—it’s deployed. This post highlights real AI systems we’ve designed and launched for companies across manufacturing, ecommerce, automation, and digital services.

These systems are already running, saving time, scaling output, and generating revenue—without adding human labor.


🧠 Case Study 1: AI for Social Media Automation

Client: Content-driven brand on Instagram
Challenge: Time-intensive manual growth (follow, post, message)
Solution: Technast built a GPT + Selenium agent that:

  • Auto-follows target profiles

  • Likes/comment intelligently

  • Sends customized DMs based on interaction
    Result: +2,300 targeted followers/month with no human input


🏭 Case Study 2: AI for 3D Print QA

Client: Industrial design firm using SLA printers
Challenge: Missed defects in small-batch parts
Solution: Deployed Vision AI with a camera + Python pipeline to analyze surface consistency, edge geometry, and color
Result: Reduced defect rate by 60%, improved client trust


🛒 Case Study 3: Shopify Order Automation

Client: Small eCommerce business
Challenge: Manual order handling, slow support response
Solution: Integrated a GPT order agent that:

  • Answers customer questions

  • Confirms order status

  • Updates tracking from backend
    Result: Support ticket volume dropped by 80%, response time near-instant


🧾 Case Study 4: Internal AI Assistant

Client: B2B logistics service
Challenge: Staff constantly referencing product databases and documentation
Solution: Created a GPT-based internal support tool trained on company documents, product manuals, and SOPs
Result: Saved 20+ hours/week in staff lookup time


🤖 Case Study 5: Crypto Wallet AI Agent

Client: Financial automation startup
Challenge: Human latency in execution windows
Solution: Built an autonomous agent connected to MetaMask that performs smart transactions based on market conditions and gas fees
Result: +17% improvement in trade efficiency, no missed windows


🚀 How Technast Handles Deployment

Every system we build follows a repeatable pipeline:

  1. Problem Discovery

  2. Design the AI System – GPT, Vision, Logic, or Hybrid

  3. Deploy & Integrate – Custom APIs, UI layers, hardware bridges

  4. Test, Optimize, Maintain


🔗 Explore Technast's AI Services


🧩 Need Custom AI That Actually Works?

These aren't mockups or ideas. These are operational AI systems already deployed in real businesses.
Let us build yours next.


 

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