Best AI tools for< Customs Broker >

Deep Cognition offers PaperEntry AI, an Intelligent Document Processing solution powered by generative AI. It automates data entry tasks with high accuracy, scalability, and configurability, handling complex documents of any type or format. The application is trusted by leading global organizations for customs clearance automation and government document processing, delivering significant time and cost savings. With industry-specific features and a proven track record, Deep Cognition provides a state-of-the-art solution for businesses seeking efficient data extraction and automation.

The Intelligent Logistics Platform, Raft, is an AI-powered workflow automation tool designed for freight forwarders and customs brokers. It streamlines various logistics processes such as finance, customs, and operations by leveraging AI technology to enhance efficiency, accuracy, and customer value throughout the shipment lifecycle. Raft combines cutting-edge AI advancements with a vast amount of supply-chain specific data to provide users with a comprehensive platform for managing logistics operations.

Revvie is an AI-powered real estate coaching and brokerage support platform that offers 24/7 assistance to brokerages and teams. It provides custom AI solutions for compliance questions, instant sales support, live and on-demand training, and human coaching. Revvie helps save time on training, offers affordable pricing plans, and aims to address common challenges in the real estate industry. The platform combines AI technology with human touch to enhance agent skills, lead generation, and deal closures.

Potato is an AI-powered platform that allows users to generate stock portfolios and build their own ETF ideas. The platform is designed to help users create investment strategies using artificial intelligence. Users can describe their investment themes or events, and the AI technology behind Potato will generate fantasy ETFs based on the input. The platform is powered by Telescope, an API service for brokers, funds, and fintechs.

My Real Estate Listing AI is an innovative AI-powered tool designed to help real estate professionals create custom real estate brochures quickly and efficiently. By leveraging artificial intelligence technology, the application streamlines the process of generating polished PDF brochures for property listings, saving time and resources for users. With a user-friendly interface and a range of customizable templates, My Real Estate Listing AI empowers users to create professional marketing materials that can attract potential buyers or tenants. The tool offers a seamless experience from uploading property details to selecting themes and reviewing the final output, making it a valuable asset for real estate agents, developers, and property managers.

The website appears to be a placeholder page indicating that the requested site is not found on Netlify. It suggests that the user may have followed a broken link or entered a non-existent URL. If the user is the site owner and encounters a 404 error, they are directed to Netlify's support guide for troubleshooting tips. The page includes a Netlify Internal ID: 01J2YC4TMAA8RS4SFDTJREBRD0.

Voxel's Safety Intelligence Platform revolutionizes EHS by providing visibility, insights, and actionable security measures for industries such as Food & Beverage, Retail, Logistics, Manufacturing, and Ports & Customs. The platform empowers safety and operations leaders to make strategic decisions, enhance workforce safety, and drive efficiency through real-time site visibility, custom dashboards, risk management tools, and a sustainable safety culture.

Custom Vision is a cognitive service provided by Microsoft that offers a user-friendly platform for creating custom computer vision models. Users can easily train the models by providing labeled images, allowing them to tailor the models to their specific needs. The service simplifies the process of implementing visual intelligence into applications, making it accessible even to those without extensive machine learning expertise.

The website provides valuable information for individuals considering building a home, specifically focusing on custom-built homes. It addresses common questions and concerns related to custom-built homes, offering insights and solutions. The content covers topics such as maximizing room space, neighborhood etiquette, secrets to successful custom-built homes, considerations for building in a distant location, family-friendly home layouts, advantages of custom-built homes over buying pre-built houses, incorporating creativity in home design, flexibility in construction projects, creating disaster-resistant homes, selecting suitable land for building, and designing homes suitable for smaller families. The site also offers tips on creating stylish and natural custom-built homes, considerations for individuals with a second car, assessing safety in the neighborhood before building a custom home, following exterior wall trends, and more. The site is authored by Takayoshi Shirasaki, providing expert insights and recommendations based on experience in the construction industry.

Notion Content Creation System & Custom GPT for Repurposing is a content creation tool that helps users schedule, manage, and collaborate on their content creation process. It includes a variety of features such as guides, resources, hooks, templates, prompts, and a custom GPT for content repurposing. The tool is designed to make content creation easier and more efficient, and it can be used by individuals or teams of any size.

Chatbase is a platform that allows users to create custom chatbots for their websites. These chatbots can be used for a variety of purposes, including customer support, lead generation, and user engagement. Chatbase provides a variety of features to help users create and customize their chatbots, including the ability to import data from multiple sources, customize the chatbot's appearance and behavior, and integrate with other tools. Chatbase also offers a variety of pre-built templates and examples to help users get started.

EmbedAI is a platform that allows users to create custom AI chatbots powered by ChatGPT and trained on their own data. These chatbots can be embedded on websites and used to answer customer questions, provide support, or generate leads. EmbedAI is designed to be easy to use, even for those with no coding experience. It offers a variety of features to help users create and customize their chatbots, including a user-friendly interface, pre-built templates, and advanced training options.

Booth AI is a platform that allows users to create custom AI solutions in minutes, not months. It is enterprise-ready, scale-ready, and disruption-ready. Booth AI offers a variety of features, including integration with over 100 apps, workplace tools, project management tools, marketing automation tools, and more. Booth AI can be used to solve a variety of business problems, including automating tasks, improving customer service, and increasing sales.

Featured GPTs is a platform that showcases the top 1% best custom GPTs in the GPT store. It provides a curated list of useful custom GPTs that have been thoroughly tested and are ready to enhance various projects. The platform offers detailed insights, comparisons, and use-case scenarios to help users choose custom GPTs with confidence.

Shipixen is an AI-powered tool that allows users to generate custom Next.js codebases with an MDX blog, TypeScript, and Shadcn UI in minutes. It provides a seamless experience for developers to create beautifully designed SaaS, blogs, landing pages, directories, and more without the hassle of manual setup. Shipixen offers a wide range of features, themes, and components to streamline the web development process and empower users to focus on building rather than configuring. With AI content generation capabilities, customizable branding, and easy deployment options, Shipixen is a valuable tool for both beginners and experienced developers.

Durable is a custom software development platform powered by generative AI. It enables users to create tailored software solutions without writing any code. The platform is designed to be accessible to users of all technical abilities and leverages advanced AI techniques to generate deploy-ready software that meets specific user needs and earns their trust. The team behind Durable comprises experienced founders, venture capital investors, and AI research leaders. Their AI technology combines deep learning and symbolic AI to understand user intent, validate assumptions, and continuously learn and reason. Durable is committed to developing the next chapter of AI and welcomes inquiries from driven and enthusiastic individuals interested in shaping the future of software development.

Mirage is a custom AI platform that builds custom LLMs to accelerate productivity. It is backed by Sequoia and offers a variety of features, including the ability to create custom AI models, train models on your own data, and deploy models to the cloud or on-premises.

ChatShape is a website that allows users to create custom AI chatbots for their website. The chatbots can be used to answer customer questions, collect leads, and increase conversions. ChatShape is trusted by over 10,000 businesses and is easy to use. Just add a link to your website and get a custom trained AI. Embed it on your website and let it handle customer support, lead generation, and more.

Roshi is an online platform that allows users to create custom lessons in seconds. Users can select any news article or text from the web and turn it into a lesson with a single click. The platform automatically simplifies the text to ensure it is at the right level for learning. Users can also create questions based on the lesson content and analyze it in detail. Roshi aims to make lesson creation quick and easy for educators and learners.

GPT Personalize is a platform offering free custom GPTs designed to enhance productivity in various domains such as education, tech support, and more. Users can access a range of custom GPTs with a ChatGPT Plus or Enterprise subscription, making tasks easier and learning more fun. The platform also provides expert guides on integrating knowledge into GPTs, mastering DNS management, and developing innovative actions for GPT models. GPT Personalize aims to optimize tasks and accelerate learning through the power of generative AI.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

Litlyx is a single-line code analytics solution that integrates with every JavaScript/TypeScript framework. It allows you to track 10+ KPIs and custom events for your website or web app. The tool comes with an AI Data Analyst Assistant that can analyze your data, compare data, query metadata, visualize charts, and more. Litlyx is open-source, allowing users to self-host it and create their own version of the dashboard. The tool is user-friendly and supports various JavaScript/TypeScript frameworks, making it versatile for different projects.

Celery AsyncIO Pool is a free software tool licensed under GNU Affero General Public License v3+. It provides an AsyncIO worker pool for Celery, enabling users to leverage the power of AsyncIO in their Celery applications. The tool allows for easy installation using Poetry, pip, or directly from GitHub. Users can configure Celery to use the AsyncIO pool provided by celery-aio-pool, or they can wait for the upcoming support for out-of-tree worker pools in Celery 5.3. The tool is actively maintained and welcomes contributions from the community.

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple languages.

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Aio-pika is a wrapper around aiormq for asyncio and humans. It provides a completely asynchronous API, object-oriented API, transparent auto-reconnects with complete state recovery, Python 3.7+ compatibility, transparent publisher confirms support, transactions support, and complete type-hints coverage.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

llm-ui is a React library designed for LLMs, providing features such as removing broken markdown syntax, adding custom components to LLM output, smoothing out pauses in streamed output, rendering at native frame rate, supporting code blocks for every language with Shiki, and being headless to allow for custom styles. The library aims to enhance the user experience and flexibility when working with LLMs.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=