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Offline fuel receipt OCR to Excel (Python, PaddleOCR). It reads photos of Vietnamese fuel receipts into a spreadsheet and flags rows where liters x unit price doesn't match the total. Tested on 6 synthetic receipts so far. Write-up: https://dev.to/tthanh2k6/offline-vietnamese-fuel-receipt-ocr-in-python-and-the-apostrophe-bug-that-zeroed-three-fields-8n5
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You need a strong starting point for a sales-tech brand without trying too hard.
A generic SaaS template won’t work in this case.
What you need are:
• Sales-focused product UI
• Personalized outreach with follow-up and reply intelligence
• Pricing, testimonials, FAQs, and integrations
• CMS for blog posts, feature pages, and case studies
• Clear paths to demos and trials
That’s how we designed Avina, our new Framer template.
Built for AI sales products, outbound automation tools, and sales-focused SaaS products.
Avina is designed around a real outbound sales journey.
So visitors understand quickly.
Check the link in the comment.
What I like here is the focus on the actual sales journey, not just the visual design. For AI sales tools, showing how outreach, follow-ups, and reply handling connect to real outcomes can make a big difference. Curious how you approached that in Avina?
From packed boxes to a shipment the client can track.
This TechFoundry IMS demo reuses box details, retrieves UPS rates, creates shipping labels, and keeps tracking connected to the client order. A practical example of the AI and automation workflows we build into business software.
Watch the client shipping demo:
https://www.youtube.com/watch?v=8ohniU08JAA
#AI #Automation #SoftwareDevelopment #Shipping
I like that the shipment stays tied to the client order instead of living in a separate carrier tab. When box details get edited after the UPS rate is retrieved, does the system re-quote before creating the label, or lock the original rate? I'd be curious how you handle that mismatch on the tracking side.
Otoma. AI — AI-Powered Workflow Automation Design
A simpler way to build workflows.
Otoma. AI turns plain-language instructions into working automations, helping finance and operations teams handle repetitive tasks while staying in control.
