Overview
The solution addresses key KPIs for brands and delivery companies focusing on minimising failed deliveries to reduce costs and improve customer experience while offering strategies for gradual eco-friendly fleet transitions.
The underlying prediction model of failed deliveries is based on Amazon Sagemaker. The data visualization part of the solution is developed using Amazon QuickSight
The dashboard provides users with a comprehensive view of key performance indicators (KPIs) related to failed deliveries, actionable insights into key factors influencing failed deliveries, and impacts in terms of costs and CO2 emissions. Using Interactive dashboard the user can drill deeper into any specific KPI -e.g. see the frequency of failures and why are they occurring.
Utilizing Amazon QuickSight's forecasting capability, dashboard can also offers predictions for future deliveries, ‘what if’ scenario considerations enabling businesses to take appropriate actions
The dashboard also helps with inputs into strategies for transitioning to more eco-friendly fleet of vehicles providing insights into optimising fleet with vehicles that burn less CO2 per mile and gradually increasing the percentage of electric cars to reduce carbon footprint
Highlights
- Multiple KPIs are addressed simultaneously: customer satisfaction, cost optimisation and environmental impact
- Improved decision making leveraging AI ML, predictive analytics and enhanced data visualisation with what if scenario considerations
- A POC approach using Data Reply solution accelerator enables to demonstrate value to the business within 3-4 weeks
Details
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Data Reply can support you with a POC where the model can be deployed in your AWS environment with elements of customisation to meet your specific requirements and quickly prove value to the business. A POC Funding support might be available depending on the business case.
For further information and to get a private offer please contact: a.main@reply.com