AI to predict Kubota parts and services requirements

The different regions in South Africa have distinct agricultural cycles - working on having tailored inventory strategies for each area.

Press release

Smith Power Equipment, the exclusive distributor of Kubota tractors and implements in South Africa, is working tirelessly to predict annual as well as seasonal parts and service requirements for its tractors through the use of artificial intelligence.

To spearhead the drive the company has appointed Gerhard Taljaard (photo below) as the new Parts Manager to ensure the extensive dealer network is properly stocked at all times.  He has a long track record and is well-known in the industry for his efficiency in establishing efficient supply networks for the distribution of parts and spares for various agricultural equipment suppliers.

In his new role he plans to further optimise the already efficient logistics and inventory management by ensuring the availability of the correct parts at the right time and place. He aims to reduce excess stock while improving stock levels for essential parts. This includes having the correct parts readily available at dealer locations to further minimize downtime for customers.

Achieving this goal involves a delicate balance of maintaining sufficient stock levels without overstocking. This will incorporate the use of artificial intelligence (AI) tools for enhanced forecasting to predict demand more accurately and manage inventory efficiently. This approach involves analysing previous sales data, market trends and dealer inputs to forecast parts requirements.

He will also oversee a transition from air freight to sea freight for parts orders, which can reduce costs by 20-25%. This cost-saving can then be passed on to dealers and customers, making Kubota parts more affordable. To do this he plans to leverage the extensive experience and market knowledge of Kubota dealers, some of whom have been with the brand for over a decade and more, to ensure that the right parts are stocked based on regional demands and common issues.

“I am keen to implement advanced technological solutions to support inventory management to even predict seasonal variations in demand, especially for things like haymaking, picking, harvesting and sowing equipment, which requires precise forecasting to ensure parts availability during peak periods. The different regions in South Africa have distinct agricultural cycles and we are working on having tailored inventory strategies for each area.”

Relevant Agribook pages include “Tractors, combines and balers” and “Digital Agriculture“.