ERP applications traditionally do as dictated. It absorbs tons of data every time a business transaction takes place – from customer order to RFQs, purchase request to invoice, travel expenses to reimbursement claims. But the data is never wielded to the advantage of the employee or the employer.
The solution lies in enterprise application becoming active, instead of remaining passive. At Ramco, our ERP software is integrated with Artificial Intelligence (AI) and Machine Learning (ML) which can analyze the data, question a user, and recommend optimum solutions to implement. It is made for the future where the applications should be able to think, predict and prompt. The potent combination of AI and ML can improve productivity, simplify complex transactions, make data accessible anytime and anywhere and transform technology from being a mere support tool to that which can drive digital transformation!
Prompting the right choices based on past trends, to help you select the best of solutions
Recognizing errors that can be rectified; helping you prevent damage and even fraud attempts
Saving money & resources for the organization through error-free data inputs, optimal data capture et al
Predicting failures through AI powered forecasting, helping the organisation take better functional and strategic decisions
Artificial Intelligence and Machine Learning can accelerate business development, garner growth opportunities and lay down the roadmap for achieving future goals as well. With machine learning sharpening AI skill sets and AI delivering cognitive and intellectual capabilities to machine, this technology duo can work magic in terms of deploying meaningful solutions across the enterprise landscape.
Leveraging behavioural analysis and prediction, and using machine learning to reduce data entry to its bare minimum
Utilizing data patterns intelligently and taking into record historical trends and data, to automate routine tasks
Its ability to act cognitively and swiftly can help in streamlining internal processes and tasks, thus improving efficiency
The technology can quickly adapt itself to changing market dynamics, and can be intelligent enough to even anticipate forthcoming events
ML Platform uses microservices architecture, containing several intricate components, that support quick and reliable delivery of complex applications
It enables learning, interpretation and application as well, and is supported by an API Gateway which handles all the security between the servers