Includes Indexes and References

The Logistics sector has crucial influence to the economic performance of any country. Logistics has gradually evolved over the centuries, with the advanced digital industrial transformation heralding better performance for Logistics, because it brings about integration and connectivity of all Logistics functions include: Transport, Warehousing, and Inventory. The implementation of these technologies brings about Digital Logistics Systems that comprise of: Transport Management Systems, Warehousing management systems, and Inventory Management Systems. Many Manufacturing and Logistics companies have heavily invested in the implementation of Digital Logistics Systems. However, the case is different for the Agro-processing Industry, where Tea Factories lie. Meru County is one of the tea-growing areas with Tea being the second most profitable cash crop in the region. This shows how significant it is to digitalize all the logistics functions involved in producing the end-product of this influential cash crop to the consumer. Scholarly investigations have confirmed that there is still a substantial deficit in academic literature when it comes to the concept of Logistics 4.0, which is Digital Logistics, and its functional use across Tea factories in Africa. This study sought to assess the influence of Digital Logistics Systems on the supply chain performance of Tea Factories in Meru County. The following specific objectives were explored: To establish the influence of Warehouse Management Systems on Supply Chain Performance of Tea Factories in Meru County – Kenya, to assess the influence of Transport Management Systems on Supply Chain Performance of Tea Factories in Meru County – Kenya, to determine the influence of Inventory Management Systems on Supply Chain Performance of Tea Factories in Meru County – Kenya. The theories adopted in this study were: Material Flow Theory, Theory of Constraints, Six Sigma Theory, and Supply Chain Operations Reference Model. The target population was 1,230 respondents, with a sample size of 302.A Stratified sampling method was implemented to sample the target population. The sample size was derived through Slovin‘s formula. Purposive selection was done when selecting respondents. Data collection instruments comprised of primary data, which was in form of questionnaires. Content and Construct validity were used to examine the validity of research instruments. Descriptive statistics tools including mean and standard deviation, were used. More so, inferential statistics in form of correlation and multiple regression analyses were employed. The research hypotheses were tested at 0.05 level of significance. The research data was investigated to find out if it adhered to the assumptions of multiple linear regression analysis with the help of ordinary least square assumptions, and it was found to be free from Normality, Multi-collinearity and Auto-correlation. The findings indicate that Digital Logistics Systems were significant in improving the Supply Chain Performance of Tea Factories. Transport Management Systems were found to have the greatest significance with a coefficient of 0.362 followed by Inventory Management Systems with 0.331 and Warehouse Management Systems with 0.287. It was concluded that Transport Management Systems influence Supply Chain Performance the most, then Inventory Management Systems come second and lastly Warehouse Management Systems. The following recommendations were made: Examining the utilization of digital platforms that expedite communication between Tea Farmers and Factories, Assessing the influence of Digital Logistics Systems on empowering smallholder Tea farmers by building on access to markets, fair pricing and timely logistics.