Intelligent Technician Dispatching

Customer

Major Swiss Chemical company

Problem

  • Technician dispatching not as efficient as possible
  • Currently used algorithms were too slow and did not allow for quick reaction, recalculation of the routes/dispatching of the technicians

Solution

  • Train a reinforcement learning model to achieve same or better accuracy more quickly at a lower cost

Impact

  • Improved Technician efficiency, reaching more customers and resolving more issues per technician per day

AI Sales Forecasting

Customer

Major Swiss Chemical company

Developing a state-of-the-art forecasting approach by combining multiple forecasting models to achieve a 97-98% accuracy, leading to monetary and time savings

Problem

  • The customer was looking to automate the sales forecasting process which to date was performed in a manual way, making it cumbersome and error prone

Solution

  • New approach to improve forecasting quality and the effort needed to maintain it using new data sources like Forward looking indicators, Financial metrics: (GDP, Inflation, FX rates) and Big events (e.g. new years in china, olympic games etc.)

Impact

  • Automation -> less manual work, less errors, less time
  • Higher accuracy (97-98%)
  • Better planning/cost savings

Supply Chain Control Tower

Customer

International Reseller

Building a tool to provide a 360° view over the whole supply chain, coupled with an alerting system when a certain material is reaching low stock levels

Challenge

  • Recurrent struggle with materials being out of stock resulting in significant loss in sales

Solution

  • Built application enabling users to see the whole supply chain, either globally or per material
  • Implemented an alerting system that reports when a certain stock level is low and will soon need replenishment

Impact

  • Reduction of average out-of stock levels at a given point in time by about 50%
  • Lowered loss of turnover due to materials being out of stock

AI Supply Chain Forecasting

Customer

Major Swiss Chemical company

Problem

  • The need to improve the current forecasting process (raw-materials, finished goods and sales)

Solution

  • New approach to improve forecasting quality and the effort needed to maintain it using new data sources like Forward looking indicators, Financial metrics: (GDP, Inflation, FX rates) and Big events (e.g. new years in china, olympic games etc.)

Impact

  • Automation -> less manual work, less errors, less time
  • Higher accuracy (97-98%)
  • Better planning/cost savings

Airlines Data Platform Onboarding

Customer

Airplane producer

Onboarding airlines across 3 continents on a central data analytics platform with activities such as training and enablement of new users

Challenge

  • Need for airlines’ data scientists and executives to explore data independently and be able to implement new use cases on their own

Solution

  • Prepared educational material, such as presentations and project examples
  • Gave lectures and conducted workshops to train new users to use the Foundry platform

Impact

  • Enabled new users to acquire new skills allowing them to implement future use cases and to analyse data independently

Aircrafts Predictive Maintenance

Customer

Airplane producer

Implementing a data platform to centralise maintenance data from hundreds of airlines and enable predictive maintenance models

Challenge

  • Integrate data from 100s of airlines on a single platform
  • Reduce or eliminate operational interruptions and minimise the number of aircrafts immobilised due to unforeseen maintenance needs

Solution

  • Integrated sensor data and telemetry into central data lake
  • Developed predictive maintenance model outputting the probability of maintenance need in the next 5 flights for each aircraft

Impact

  • Notable improvement in speed of problem detection, triaging and resolution
  • Enabled feedback loop to aircraft design teams to prevent similar issues from reoccurring

Please reach out to learn more about AI in your industry

Want to receive updates from us?

agree_checkbox *

By subscribing, you consent to Unit8 storing and processing the data provided above in order to provide you with the requested content. For more information, please review our Privacy Policy.

Our newsletter features industry news, the latest case studies, and future Unit8 events.

close

This page is only available in english