CLIENT NEEDS
- Our client was looking for implementable digital solutions that could help reduce / eliminate downtime losses due to unexpected equipment failure.
CLIENT OBJECTIVES
- Identification of ready-to-implement solutions for both
up & downstream use cases. - Propose a shortlist of validated & benchmarked solutions
/platforms.
KEY BUSINESS OUTCOMES
- The client was delighted to receive a final selection of 6 companies with machine learning-based predictive & prescriptive maintenance platforms.
- This was achieved within a time frame of 2 months from
the date of the first interaction.
KEY BUSINESS IMPACT
- Successful implementation and positive ROI within a year of implementation.
They are phenomenal. They think completely out of the box. And they are my go-to whenever I am challenged with the need for insight or opinion. They have made a real difference to my business over the last one year.
Head of Strategy
Integrated Oil & Gas Company
OUR APPROACH & METHODOLOGY
Engagement with Expert Advisor
- WhatNext set up discussions with 3 experts with the client. The objectives of these discussions were to help identify and narrow down viable solutions.
- As an outcome of this engagement, WhatNext provided the client with a shortlist of 32 potential start-ups that could meet the client’s business objectives
Solution Benchmarking & Shortlisting
- A panel shortlisted from a freelance Ph.D. network, used the WhatNext proprietary technology due diligence methodology to research and evaluate the technical capabilities of the start-ups and reduced the shortlist of start-up candidates to 14 best-fit start-up solutions.
Due-Diligence
- Most of the 14 companies were part of the WhatNext Start-Up Network.
- The client along with the 3-member expert panel conducted In-video interviews with the start-ups to validate which specific solutions make sense as a starting point, what level of (data) preparedness is needed & use-cases of measurable business impact / RoI. This was used to arrive at a final selection of 6 technology companies.
