Sensei Consulting Solution Plt is a boutique consultancy and healthcare solutions firm founded by 2 partners in 2017 with a single mission: to be a successful, creative and ground-breaking agency in ASIA PACIFIC.
Our Strategy
Vision statement
To deliver excellent service to meet and exceed our customer’s expectations.
Mission statement
To provide holistic, creative , customer focused and ground-breaking consulting and healthcare services in Asia Pacific.
Values
Trust, Customer Focus and Deliver Excellence
Our Business
Business Concept
Holistic business consulting focusing on end to end solutions for wide range of customers from manufacturing, retail and services industry and point of sales business (vending) leveraging on technology driving industry 4.0 adoption.
Our Services
We offer Lean Six Sigma training and consultancy, business review and strategy, retail excellence training, consulting and automation in line with Industry 4.0.
Business Competitiveness
Hands on consulting and application using learning by doing approach on the GEMBA with consultants with over 40 years of combined experience
Value chain
Our core competencies are in end to end supply chain from supply chain management, manufacturing and retail of pharmaceutical and fast moving consumer goods (FMCG) industries.
Our Business
Smart Factory Solution
The smart factory delivers competitive advantages for manufacturers by enabling improved operational performance and greater throughput. The ultimate goal is to move towards autonomous operations driven by AI, prescriptive maintenance and digital twins for building management.
These solutions lead to a tighter integration between production and IT systems. Achieving prescriptive status means having the ability to capture, share, and act on data to anticipate system issues and thereby achieve higher uptime. This goal requires vision, planning, and investment. In the traditional model of plant operations, production systems operated in silos with little or no communication between them.
Maintenance issues were identified upon equipment failure and once identified, corrected on site. These dated practices lacked the ability to remotely diagnose issues and/or correct the problem. Downtime instances were lengthier and more frequent. The digitalization of a factory means that as factories evolve, they can predict issues that will occur and remedy issues before they would otherwise occur.
This is the finish line; the implementation of the prescriptive model that enables autonomous factories.
