We live in the era of "OK Google, hey Siri, and Hi chatbots." AI has made our lives easier than we could ever think. How does it deal with multiple stuff just in a few seconds? What makes it so fast to generate an AI invoice quicker than ever?
AI Training datasets have made it all possible. To build these quality datasets, we need High Quality Dataset. The collection is mandatory. And, yes, this reminds us of Automated Invoice Processing.
The Invoice Collection is one of the fascinating fields for GTS. Like, think of saving all the time that made you stay in the office for hours. Invoice processing automation would do good for your business because back-office finance teams can be put into great use rather than manually collecting all the invoices. But, how does Artificial Intelligence help your business automate invoices for the vendors? Let us know that in detail.
Basically, we have two types of Invoice Data Capture solutions for you.
We know that optical character recognition has helped us save time and cost by simply recognizing the text. Our OCR Dataset Capture techniques allow converting images into text that the accounts team can easily work with. Only OCR can not automate invoice processing. Therefore, our team feeds the invoice templates and rules to an OCR system.
These invoice solutions capture key-value pairs and tables required to auto-process all the invoices. It also mimics the human mind while detecting and capturing documenting data. It gives the operators intuitive to assist and enables them to validate and correct captured data within a short time. These cognitive solutions deploy on the cloud and ensure class security and scalability.
AI is smart enough to invoice capture in simple steps:
We extract key values from the hard copies of invoices. If the process does not achieve the desired results, it is sent to the employees for manual checking.
Our team cross-checks the invoice information with PO, GRNs, and other validated methods.
After that, our AI systems insert information into one system and classify the invoices on the basis of costs and business units.
Automated invoices are made using advanced workflow conditions.
Fast Processing- We know that manual invoice creation takes a lot of time. Manual data extraction consumes time and money whereas AI-enabled extraction takes under 30 seconds to do the job. Future invoices from the sample supplier require less time to process efficiently. Have you ever thought of getting better in recognizing faces every time you look at them? Similar to this, whenever a new invoice is processed, the AI systems strengthen themselves. The cognitive solutions get smarter with every new invoice generated. This way GTS will eventually have the option of automating and processing these invoices.
Increased Data Accuracy: AI and deep learning techniques are capable of detecting and capturing invoice data using multiple neural networks. This increases their understanding and capabilities. Any data entry clerk can commit mistakes in processing the invoices.
Increase in productivity: When AI and Machine Learning join hands, they take care of manual tasks easily. The time your employees save can be used in financial planning, tracking company's expenditure, deriving actionable insights from accounts, strengthening seller-customer relationship, and collaborating with other corporate bodies.
GTS is looking for freelancers for our next Machine learning project. We want participants who can send the photo of invoices by mobile camera. We have the following requirements regarding the invoices:
Language: We collect invoices in Spanish, Portuguese, Italian, German, Dutch, French, Russian, Japanese, Chinese, and Arabic. We need at least 900 invoices of each language. For better machine learning, we need 30 invoices of 30 pattern.
We categorize our invoice collection into flights, hotels, services, and trading.
The minimum word count for each invoice is 60 words.
The invoices must be clear so to recognize the patterns on it.
We need a minimum of 45 images of invoices per industry and a maximum of 225 images.
The industry list contains E-commerce, Flagship, Specialty Shop, Convenience Stores, Category Killer, Variety Store, Outlet, Pop-up, Captive Market, Wholesale Club, Third Party Seller, Brand Shop, Showroom, Mom & Pop, Discount, Used Goods, Store-in-Store, Vending, Markets, Subscription Boxes, Bricks & Clicks, Department Store, Supermarket, Box-Box Store, Off-Price, Luxury, Street Vendors, Gift Shop, Farmers Market, and Direct Response.
We have observed that billing and collections are modernized with the help of AI. Through deep learning, there is a diverse mix of EOBs and PDFs that can be digitized and converted into digital data. AI also helps in predicting the invoices due to the dynamic shift from manual functions to digital ones.
Collection is the most important aspect of creating any kind of training datasets. For invoice processing, we need number of invoices so that machines recognize the patterns. The evolution of technology for collections has focused us on how it has enabled easier access to data and more accurate and up-to-date aging reports. GTS framework also has several key modules for payment collections and customer delinquency management.
Let us help you to get through different aspects of Artificial Intelligence and Machine Learning. Invoice collection seems to be an easy task which is not the reality. Help us get all the invoices of the languages mentioned so we expand our reign of services.
GTS has decided of expanding its branches to multiple fields of Artificial Intelligence. We intend to process the invoices of above-mentioned industries. We are quite proficient in Spanish, Portuguese, Italian, German, Dutch, French, Russian, Japanese, Chinese, and Arabic. We want 900 invoices of each language to master the field of automated invoice processing.
We also want the personnel for our machine learning projects. Initiatives of our employees are highly appreciated. Let us grow together and build an AI world for everyone. Join us now and enjoy forever.