Custom Software solutions that our company produces are devided into two major groups: Applications for addressing small peripheral needs and specialized applications build-in for ERP (Atlantis etc.).
Build for success.
Quality services for business software needs analysis, planning and installation for companies, with the goal to create a competitive advantage to clients that trust Orosimo Software with their needs.
Implementation is the foundation of project success.
Our long year experience in Large Enterprise Projects and the strategic alliances that we have, gives us the ability to be able to succesfuly plan, manage and monitor different kinds of informational projects.
We know that after sales support is a major part of a project success.
BI Reporting is the essense of an informational system implementation. It is the final outcome of all the data input that our users do in the company system.
Management & Decision making information at its best.
Mobile platforms are today the extention of our core enterprise sytems. They are crucial for bringing on-time information as well as cricital data input on the field.
Mobility increases spead and revenue.
Project Management for Business Software Projects is a tedious task that needs expertise and methodology in order to be succesful.
We are happy to have them both.
Why choose us?
Enterprise resource planning (ERP) systems integrate internal and external management of information across an entire organization—embracing finance/accounting, manufacturing, sales and service, customer relationship management, etc. ERP systems automate this activity with an integrated software application. ERP facilitates information flow between all business functions inside the organization, and manages connections to outside stakeholders.
Customer Relationship Management (CRM) is a business strategy aimed at understanding, anticipating and responding to a prospect or customer’s needs. There are generally three industry accepted CRM components of operational CRM, collaborative CRM and analytical CRM. Operational CRM facilitates customer facing business processes and is generally managed and automated with the modular software components of sales force automation (SFA), marketing automation and customer service. A primary objective of operational CRM is to provide a single, consolidated and holistic view of the customer relationship across the organization. Collaborative CRM describes the direct communication and interaction with customers over multiple mediums (face to face, phone, email etc). Social media and CRM 2.0 are having a large impact on collaborative CRM by introducing new communication channels. Analytical CRM seeks to synthesize, analyze and understand customer data in order to predict customer behaviors, identify customer opportunities or better serve customers.
A Warehouse Management System (WMS) is a key part of the supply chain and primarily aims to control the movement and storage of materials within a warehouse and process the associated transactions, including shipping, receiving, putaway and picking. The systems also direct and optimize stock putaway based on real-time information about the status of bin utilization. A WMS monitors the progress of products through the warehouse. It involves the physical warehouse infrastructure, tracking systems, and communication between product stations.
Business intelligence (BI) is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes. BI can handle large amounts of information to help identify and develop new opportunities. Making use of new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.