MResult’s teams helped Fortune-listed companies leverage AI innovatively to streamline processes, reduce human intervention & create better interactions between the organization & clients.
Problem
Organizations that are agile and lean create more value for their customers. MResult partnered with two Fortune-listed biopharma companies to create AI- and ML-based solutions that empowered teams to be nimble and innovative.
A Fortune 100 biopharma company wanted to:
- Identify outliers and high performers across regions to help the Finance team predict demand more accurately. They wanted to improve on existing methods for analysis and achieve forecast accuracy without disturbing the status quo.
- Reduce the time spent by the Risk Management & Compliance (RM&C) team in handling recurring customer questions related to ambiguities.
A Fortune 500 biopharma company wanted to:
- Unify multiple dashboards for the easy retrieval of enrolment, data flow and startup metrics, thereby reducing search time spent by their global development team
Solution
The MLabs teams put their expertise to work, breaking down the problem, identifying the gaps and innovating to address the customer’s pain points using custom, state-of-the-art AI and ML models.
The team partnered with the F100 biopharma company to:
- Identify the gaps in correlations and other indicators like seasonality and cyclical trends; set up a lab-to-factory model and a separate environment to test new predictive methods and algorithms, which evolved into a single application with a visual interface.
- Build a cutting-edge, AI-enabled chatbot platform for the team’s information-sharing portal, with a general Q&A flow for clinical trials with minimal human intervention, a record of all interactions for audits and an escalation matrix with a live agent to answer complex questions.
For the Fortune 500 company, the MLabs team built a one-stop AI-powered chatbot that could:
- Retrieve enrolment, data flow and start-up metrics easily and answer standard queries regarding various clinical trials and data capture systems.
Impact
Once the solutions were implemented, the F100 biopharma teams were able to:
Clients were able to gain critical, actionable insights on forecasting, improve the accuracy of decisions and ramp up internal user support quickly and efficiently.
01
Save time by accessing the application-based self-serve analytics model easily
02
Improve the accuracy of forecasting through additional insights gained by comparing forecasting methods based on a wider range of custom requirements.
03
Improve process efficiency for the RM&C team based on query-related insights & demonstrate an almost-immediate drop in the number of users needing agent support for low- to low-medium-risk RM&C complaints.
The F500 biopharma company was able to:
