Collaborative contracting, transparent procurement, systems and supply chain analytics.
SCALING Technology to Your Needs
GESTALT SYSTEMS [analytics] uses gestalt theory principles and convergent technology of IoT, AI and blockchain integrated with traditional supply chain management systems and the COLLECTIVE INTELLIGENCE of business network practices. GESTALT SYSTEMS [analytics] uses advances in data analytics software and global logistics to reduce the complexity of transparent procurement, contract reporting and urban governance. SMEs (Small to Medium Enterprises) are at a distinct advantage to incorporate advances in data-related technologies and remain ahead as global markets become more complex. Bigger companies have to make a larger investment to remain nimble to the change and advances in technology. GESTALT SYSTEMS [analytics] helps companies become data-driven either from the start, as new companies, or for existing enterprises (re)entering or transitioning to new business models CREATING SHARED VALUE.
GESTALT SYSTEMS [analytics] sifts through the hype of emerging technology, and provides a service to smaller and mid-market businesses that need to think in terms of return on investment and scalability to power new levels of innovation and efficiency. No matter the stage in digital maturity, each key pillar helps enterprises get ahead. GESTALT SYSTEMS [analytics] ensures projects remain ahead of schedule and helps business reach the next generation of digital transformation—from designing new solutions based on advanced analytics insights to optimizing the delivery of projects. Advanced Analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) provide the path to transformation. The four (4) key elements to an intelligent supply chain are; BE CONNECTED to enable growth through an extended digital ecosystem that unites employees, trading partners, systems and things. BE COLLABORATIVE and promote rich and secure collaboration with the flexibility to work how, when and where people, systems and things work. BE INTELLIGENT and boost the competitive edge with machine learning-based advanced analytics to predict outcomes, optimize and automate business operations, and take informed action. BE SECURE to ensure only the right people, systems and things have access to the right data at the right time—and only as long as they need it.
GESTALT SYSTEMS [analytics] uses GESTALT PRINCIPLES that analyse the complexity of systems or complex problems as a whole and deploys productive and (re)productive design thinking strategies. PRODUCTIVE THINKING refers to solving COMPLEX PROBLEMS with insight using quick insightful unplanned response to situations and environmental interaction and (re)PRODUCTIVE THINKING refers to (re)solving COMPLEX SYSTEMS with previous experiences of what is already known, and deploys the LAWS of GESTALT PRINCIPLES. By using the LAW OF PROXIMITY location based objects are perceived as forming a group; LAW OF SIMILARITY assessing objects or systems with similar elements; the LAW OF CLOSURE determining when a whole is complete; the LAW OF SYMMETRY to analyse the selected grouping of objects/systems; the LAW OF COMMON FATE observe trends and paths to unlock opportunity; the LAW OF CONTINUITY assess the success and value of uninterrupted systems; the LAW OF GOOD GESTALT observe complexity and unfamiliarity and (re)presents complexity in its most simplistic form; and finally THE LAW OF PAST EXPERIENCE to test what is known and interpret new alternatives.
Businesses are adopting predictive analytics for supply chain management such as sourcing and logistics. Based on information you know historically and what you're doing now, and knowing the causal relationship, you can try to better forecast the future. Data has improved reporting capabilities and now Artificial Intelligence (AI) can help businesses become forward, rather than backward looking, by creating better-demand forecasts with predictive analytics. The next evolution in advanced analytics is prescriptive analytics, where some of the decision-making based on predictive analytics becomes automated.
By using data to control a variety of risks machine learning, an application of artificial intelligence, can help extrapolate key trends and establish baselines to reduce risks. Web-based platforms connect your business to companies and suppliers' safety history, track records, performance statistics and other data points. Aggregating data across industries can isolate trends in safety performance, establish baselines and use predictive analytics to identify which types of trends and approaches can reduce accidents and help to identify partners who have long-term financial stability and capital to complete the project.
Productivity in complex systems remains a key financial determiner is project success, time equals money. The phrase-term 'Internet of Things' (IoT) was coined in 1999 to describe this vision of Internet-connected sensors, devices, and citizens. Complex systems concept was born in architecture and city planning, the city is not made of “things,” but of patterns of complex and interactive geometries. Devices and sensors [the Internet of Things] are creating the ability to manage assets and people more productively, which is important from a cost perspective, to process the content of information instead of just presenting information.
Supply chains are incredibly complex, 200 companies could be involved in something as simple as a tube of toothpaste sold at the supermarket. Tracking the movement of physical goods across multiple companies, is a major challenge. Blockchain, or distributed ledger technology, is the emerging solution. Blockchain solves the challenge of having large-scale amounts of information in different places, securely, at the same time. Blockchain is the ethical supply chain you know if [the product] is ethically sourced, and that information is shared, by distributed ledger technology to empower everyone up and down the supply chain creating trust and transparency.