This will be achieved through the development of features such as:
- Mobile asset utilisation monitoring and optimisation
- Anomaly detection around operator behaviour
- Dynamic vehicle routing
- Space optimisation and strategic stock allocation
About Sonodot:
Our mission is to increase the safety and efficiency of warehouse
and factories by tracking their material handling vehicles (such as
forklifts) in realtime. Our high- performance and plug&play indoor
tracking sensors can be retrofitted to any machine giving unrivalled
visibility of fleet in realtime and at low-cost. This in turn gives
managers the insight they need to optimise their operations: right
sizing their fleets, saving time by optimising routes and reducing
misplaced stock, preventing accidents and cutting costs.
We are an eclectic mix of scientists, technologists and designers on a mission to make material handling operations smarter.
Main Requirements:
The ideal candidate is expected to have:
• The ability to think and work independently
• Superb team working and communication skills (in English)
• Mathematical fluency (especially stats) and experience with machine learning
• Proficient programmer in Python or similar. Able to prototype and explore data.
• Experience of distributed file systems
• Familiarity with Linux
• A track record of successful projects
• A passion for technology and a desire to push the boundaries (not looking for a 9/5 job)
Datasets:
We are looking to explore different sources of data generated by:
-Our sensors (indoor location, velocity, ID...)
-Onboard vehicle sensors (battery, impacts, GPS, fork heights...)
-ERP/WMS (inventory location, barcode scans, tasks, operator shifts..)
