Avoid Repair Costs by predicting scrap
Business Problem A large service company has inflated maintenance costs due to delayed detection of components that needed to be scrapped. This delay further affects new component procurement, thereby impacting maintenance turnaround time. The company would like to build a system for maintenance technicians to identify scrap as soon as they enter the maintenance facility. […]
Increase Profitability with price differentiation
Business Challenge A major manufacturing firm operating in a niche B2B market wanted to improve sales margins without impacting market share through its pricing strategy. Solution AIDAS partnered with the client and deployed AI/ML accelerators to develop insights on Margins. Insights developed led to identifying customer and product segments where differential pricing strategies could […]
Nurture Promising Leads to improve sales
Business Objective A Manufacturing company would like to improve the conversion rate of sales leads by identifying promising ones using machine learning and increasing sales revenue. Businesses would like to implement a lead scoring system in CRM to identify leads with a high probability of conversion. Solution Lead Information from the internal CRM system and […]
Predict the type of Service Maintenance
Business Challenge A major services company has higher equipment downtime due to slow turn-around in routine maintenance & servicing functions. Delays in the triaging process to identify the right level of service required the creation of a backlog, thereby increasing maintenance turn-around time. The company wanted to deploy a recommendation platform to suggest the type […]