vue-ai

[vue-ai]

Intelligent document processing

Let’s get real - most of us HATE paperwork. But documents are also the foundation of how our business gets done, from contracts to records to paper applications. Extracting and processing information from these documents involves operationally intensive processes. Or to put it simply, it’s a pain. Let’s get to the numbers involved:

80% of a company’s information resources exist as unstructured data. 

9 in 10 employees waste up to 8 hours a week looking for data within documents

Companies spend 15% of their revenue on creating, managing, and distributing paper documents

And the results? Unplanned delays, errors, wasted time and even financial implications when documents are processed poorly.

Introducing: Intelligent Document Processing

Intelligent Document Processing by Blox.ai leverages AI with programmable automation. And what can you do with it?

Convert data from semi-structured and unstructured documents into usable, structured formats.

Enable faster and more accurate processing of documents across use cases (Listed at the end!) with organized data that is optimized for downstream processes.

How It Works

The Blox.ai Intelligent Document Processing solution uses Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools to identify, label, and extract relevant data from any input document.

The extracted information is mapped into a structured format while the AI configures a model which can be applied to all similar document types.

The structured data is then matched, qualified, and reconciled against specified guidelines, thresholds, or other documents based on business needs.

The output is pushed to downstream systems automatically.

Blox.ai’s AI-on-AI layer enables real-time selection of the most relevant algorithm for a particular use case from the model library, leading to a more robust solution that is capable of handling diverse scenarios and edge cases.

Where You Can Use Intelligent Document Processing

According to IDC, 43% of knowledge workers say that paper-based workflows make their daily tasks less efficient, costlier, and less productive. With Blox.ai, enterprises have seen:

~ 90% accuracy in extracting key values from documents

85% decrease in time taken to organize data

50% reduction in resource costs

Maximize human potential in your business with Blox.ai

Process any document type through intelligent extraction, multi-way matching, and reconciliation with Blox.Intelligent document processing optimizes your document workflows through a combination of intelligent and programmable automation. Convert data from semi-structured and unstructured documents into usable, structured formats.

[vue-ai]

Intelligent Document Processing

Let’s get real - most of us HATE paperwork. But documents are also the foundation of how our business gets done, from contracts to records to paper applications. Extracting and processing information from these documents involves operationally intensive processes. Or to put it simply, it’s a pain. Let’s get to the numbers involved:

80% of a company’s information resources exist as unstructured data. 

9 in 10 employees waste up to 8 hours a week looking for data within documents

Companies spend 15% of their revenue on creating, managing, and distributing paper documents

And the results? Unplanned delays, errors, wasted time and even financial implications when documents are processed poorly.

Introducing: Intelligent Document Processing

Intelligent Document Processing by Blox.ai leverages AI with programmable automation. And what can you do with it?

Convert data from semi-structured and unstructured documents into usable, structured formats.

Enable faster and more accurate processing of documents across use cases (Listed at the end!) with organized data that is optimized for downstream processes.

How It Works

The Blox.ai Intelligent Document Processing solution uses Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools to identify, label, and extract relevant data from any input document.

The extracted information is mapped into a structured format while the AI configures a model which can be applied to all similar document types.

The structured data is then matched, qualified, and reconciled against specified guidelines, thresholds, or other documents based on business needs.

The output is pushed to downstream systems automatically.

Blox.ai’s AI-on-AI layer enables real-time selection of the most relevant algorithm for a particular use case from the model library, leading to a more robust solution that is capable of handling diverse scenarios and edge cases.

Where You Can Use Intelligent Document Processing

According to IDC, 43% of knowledge workers say that paper-based workflows make their daily tasks less efficient, costlier, and less productive. With Blox.ai, enterprises have seen:

~ 90% accuracy in extracting key values from documents

85% decrease in time taken to organize data

50% reduction in resource costs

Maximize human potential in your business with Blox.ai

Process any document type through intelligent extraction, multi-way matching, and reconciliation with Blox.Intelligent document processing optimizes your document workflows through a combination of intelligent and programmable automation. Convert data from semi-structured and unstructured documents into usable, structured formats.

[vue-ai]

AI Document processing : 3 Ways AI Can Optimize Document Processing Workflows

Intelligent Document processing — Most organizations today aggregate data from multiple sources and channels. What’s more, a vast majority of this data presents itself in different formats such as contracts, records, or paper applications. Data that manifests in these formats are typically unstructured and inaccessible for business operations.

Intelligent Document Processing leverages AI, along with programmable automation (such as repetitive tasks), to convert data from documents into usable, structured formats, and for consumption by downstream systems.

By intercepting AI into their processes, organizations can extract critical insights from unstructured documents and achieve efficiency and effectiveness gains.

Here are three ways businesses can implement Intelligent Document Processing:

1) Increase Throughput & Accuracy With AI-Powered Document Extraction

90%

accuracy in data extracted with AI-powered Document Extraction

For most companies, documents are the foundation of how business gets done. Extracting and processing information from these documents involves operationally intensive processes. These processes rely on sizeable task forces to manually digitize, process, and match documents with specific requirements. With AI, organizations can automate the flow and integration of necessary information from digitized documents into existing flows/applications for downstream processes.

Blox AI uses OCR to extract key data from documents, configure them against a structured format, and seamlessly integrate them into in-house systems. This significantly increases the speed, accuracy, and throughput of Intelligent document processing while also reducing costs.

2) Improve Efficiency Of Accounts Payable With AI-Powered Invoice Automation

Invoices and receipts are vital to the functioning of every organization. However, they come in different layouts that vary from vendor to vendor. This inconsistency in format makes it difficult for organizations to streamline their invoice processing pipeline, especially at scale. With Blox AI, businesses can automate the extraction of key values from invoices, define attributes against a structured format, validate availability and adherence of the extraction output against overall document inventory, and match the required PO-invoice-GRNs. Despite differences in structure across various invoices, the Blox AI platform is able to pick up the required fields using NLP and facilitate faster invoice processing. This results in higher accuracy, lesser dependency on manual resources, and the ability to scale.

50%

reduction in resource costs with AI-powered Invoice Processing

3) Match Candidates To The Right Roles With Automated Profiling & Recruitment

10x

faster processes with AI-powered Workflow Automation

77% of recruiters say they are more efficient in their recruiting efforts when they have a solid understanding of the market and talent pool they’re recruiting. With AI-powered candidate profiling and recruitment, recruiters can drastically reduce the effort and time required to build high-quality talent pools. Given unstructured data that includes qualification-specific data points such as education, skills, experience, region-specific information, and more, the Blox AI platform is able to extract key data points, validate them across fields, and reconcile them in a structured format that teams can use for evaluation and, consequently, correct funneling of the candidate pool.

The Blox AI Intervention:

Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and a variety of machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document.

The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.

Thus, enabling businesses to enhance and augment processes and create hyper-efficient workflows that improve the accuracy of their outcomes.

[vue-ai]

Intelligent document processing

Process any document type through intelligent extraction, multi-way matching, and reconciliation with Blox.

Intelligent Document Processing: Optimize your document workflows through a combination of intelligent and programmable automation.

Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.

Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.

[vue-ai]

Personalization Platform

Personalize eCommerce experiences for every shopper with AI

Vue.ai’s personalization platform uses AI to build shopper profiles for each shopper which are then mapped to detailed catalog data to surface the most relevant products throughout the shopper journey.

Customizable AI personalization platform for eCommerce

Vue.ai allows every retailer to customize AI personalization platform to work best for their business. The AI builds personalized experiences for every shopper across their journey on an eCommerce site. It helps shoppers view contextually relevant products based on their preferences and current session intent, improving shopper engagement and conversions. Retailers can build their own personalization strategy or pick from Vue.ai’s library of presets optimized for different business goals.

[vue-ai]

Process any document type through intelligent extraction, multi-way matching, and reconciliation with Blox. Intelligent Document Processing: Optimize your document workflows through a combination of intelligent and programmable automation.

[vue-ai]

Intelligent document processing

Let’s get real - most of us HATE paperwork. But documents are also the foundation of how our business gets done, from contracts to records to paper applications. Extracting and processing information from these documents involves operationally intensive processes. Or to put it simply, it’s a pain. Let’s get to the numbers involved:

80% of a company’s information resources exist as unstructured data. 

9 in 10 employees waste up to 8 hours a week looking for data within documents

Companies spend 15% of their revenue on creating, managing, and distributing paper documents

And the results? Unplanned delays, errors, wasted time and even financial implications when documents are processed poorly.

Introducing: Intelligent Document Processing 

Intelligent Document Processing by Blox.ai leverages AI with programmable automation. And what can you do with it?

Convert data from semi-structured and unstructured documents into usable, structured formats.

Enable faster and more accurate processing of documents across use cases (Listed at the end!) with organized data that is optimized for downstream processes.

How It Works

The Blox.ai Intelligent Document Processing solution uses Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools to identify, label, and extract relevant data from any input document. 

The extracted information is mapped into a structured format while the AI configures a model which can be applied to all similar document types.

The structured data is then matched, qualified, and reconciled against specified guidelines, thresholds, or other documents based on business needs.

The output is pushed to downstream systems automatically. 

Blox.ai’s AI-on-AI layer enables real-time selection of the most relevant algorithm for a particular use case from the model library, leading to a more robust solution that is capable of handling diverse scenarios and edge cases.

Where You Can Use Intelligent Document Processing

According to Intelligent document processing, 43% of knowledge workers say that paper-based workflows make their daily tasks less efficient, costlier, and less productive. With Blox.ai, enterprises have seen:

~ 90% accuracy in extracting key values from documents

85% decrease in time taken to organize data

50% reduction in resource costs

Maximize human potential in your business with Blox.ai

[vue-ai]

Personalized search

Hello,

Studies show 87% of shoppers know exactly what they want and will start their journey at the search bar on site to search for the product. So the chances that the next shopper on your site is looking for that perfect aquamarine, linen-blend, peter-pan collar shirt is very high.

The eCommerce industry’s Achilles' heel is the search bar. There are enough stats and numbers to help retailers understand why the search bar is essential but not enough information about how to solve the problem of showing people exactly what they want in a way that doesn’t require constant fixes.

The search page is prime real estate on any site, and shoppers can move straight to the cart page or discover brands and products from this page. But random recommendations on this page serve little purpose if the recommended products don’t align with what the shopper is searching for, their intent, or style.

So what should retailers do to ensure this Achilles heel doesn't become fatal? How can their search on-site be robust, accurate, and give shoppers what they need without forcing them to go on an epic adventure?

The Ingredients For A Good Search

The dissonance between the shopper and retailer on the site search page is primarily because of how the page is viewed. Search from a shopper’s perspective is not just about typing in a query - it is also about sorting and filtering through the results, clicking on products, browsing the page, understanding the layout, gauging and analyzing styles, price, and reviews to find exactly what they want. What if AI could do all this for the shopper, and the only thing the shopper has to do is choose, click and convert?

Retailers can ensure the personalized search is unique to every shopper and help them find exactly what they are looking for in just a few steps. All it requires is that the result be:

Accurate - The results should match the keyword(s) shoppers are looking for, regardless of variations in search terms.

Relevant - The search results should be personalized, and shoppers should be able to easily find products suitable to their preferences rather than having to scroll through many pages.

What Makes Vue.ai's personalized search Better

vueai personalized search does three things that deliver accurate and relevant results every time to every shopper.

It enhances product data to ensure better catalog coverage, accurate results, and highly efficient matching of shopper intent to the product.

It also personalizes results based on individual shopper preferences. Thanks to an incredibly rich product and customer data, the solution can sort and recommend based on every shopper’s preference.

The algorithm is also fully customizable and can be trained for different retail strategies and priorities, putting the control of the solution in retailers' hands.

This video explains how Vue.ai’s personalized search solution handles search queries on a site.

Shoppers who use personalized search as a primary way of finding products are 2-3 times more likely to buy. On the flip side, If they don’t find what they’re looking for on one site, they are going to bounce really fast to the next open tab where a different brand/marketplace is open for business.

Vue.ai capitalizes on the high purchase intent behind eCommerce searches, by personalizing results based on individual shopper preferences. The AI-powered personalized search solution also enhances product data to ensure greater catalog coverage and more accurate results. This tailored search experience reduces bounce rate and improves conversions for eCommerce retailers.

personalized search