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Export Declaration Automation is a game-changing solution that harnesses the power of AI and machine learning to streamline and optimize the process of handling export documentation.
By using advanced Large Language Models (LLMs), the system is able to automatically extract crucial information such as product descriptions, HS codes, quantity, and destination. This not only eliminates the need for manual data entry but also significantly reduces error rates and improves accuracy.
By handling the global variation of documents and layouts, the system can process a vast array of document types with 98%+ accuracy. This unprecedented level of automation drastically improves operational efficiency, leading to increased productivity and profitability.
DeepOpinion's Generative Automation platform enables businesses to take full advantage of this technology, offering an AI Hub with pre-trained models, zero-training necessary, and continuous learning capabilities, among other features. The result is a transformative impact on business processes, making export declaration a hassle-free, automated task.
Build Enterprise-Grade AI Apps
Create AI applications in minutes to process your documents without  using code.
Maximum Accuracy & Versatility
A single model can handle millions of different layouts with high accuracy, without the need for templates.
Zero-Training Needed
Use customizable pre-trained models that require no additional training, facilitating immediate deployment.
Continuous Accuracy Improvement
As new data is introduced, the Document AI enhances its accuracy through an automated learning loop.
Control Data Output
Easily manage data output and formats with features for data matching and the ability to loop in humans for review.
What customers are saying
Frequently asked questions
DeepOpinion's approach to export declaration processing is drastically different from traditional OCR solutions owing to its utilization of advanced AI technologies. Traditional OCR solutions rely heavily on layouts and position-based information, often struggling with global variation, layout variety, and semi/unstructured documents. DeepOpinion, on the other hand, employs a single Large Language Model (LLM) that can handle 99% of global variation and can be trained for 98%+ accuracy without templates or rules. This results in a significant reduction in error rates - up to a 20-fold decrease. In one instance, a single LLM processed over 35,000 layouts with an accuracy rate exceeding 98%. These models are pre-tuned to handle documents in a wide variety of structures and formats and have been trained on millions of documents, demonstrating their robustness and versatility. Another key differentiator is the efficiency and speed of DeepOpinion's model creation. Traditional solutions require large training data sets, often needing 1500+ trained documents, annotated one by one or numerous templates to build a model. DeepOpinion's generative LLM capabilities allow the building of powerful models in minutes without requiring any data training. For more sophisticated applications, domain-tuned LLMs can achieve 98% AI accuracy with just 50-100 training examples. This system's efficiency is further boosted by the utilization of pre-trained models for common document types, eliminating the need for time-consuming training and set-up processes. DeepOpinion also excels in operational and maintenance aspects. Traditional OCR solutions often require high training and maintenance efforts and costs, particularly with flexible/unstructured layouts. DeepOpinion, in contrast, reduces reliance on predefined templates, offering capabilities for complete dark processing. The AI models continuously improve as more data is passed through them, thanks to advanced model-listening and automated continuous learning loop. Furthermore, DeepOpinion's approach enables the extraction of information which is not explicitly present in documents, through its generative reasoning capabilities, allowing for the interpretation of contextual and relational information. This further enhances the straight-through processing potential.
How easy and fast is it to start seeing results?
DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.
Do I need to train or label data?
No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.
However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.
How can I integrate it into my other software tools and systems?
DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.
Does DeepOpinion offer Human in the Loop capabilities?
Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.
Which languages do you support?
DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.
Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.
Document Processing Lanuages Supported:
For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.