Google Cloud announced at Next’22 a collaboration with Twiga Foods, an e-commerce platform that provides fresh local produce to shops of all sizes across Kenya, that will be a catalyst in enhancing food security in the country. Twiga Foods will leverage Google Cloud technologies in running an efficient food value chain that connects farmers directly with vendors to bring high quality, locally harvested fresh produce to people every day—increasing accessibility to food items in Kenya. The collaboration will also allow for more accurate ordering of food items, which will lead to the reduction of waste of perishable goods during the distribution process.
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Twiga Foods decided to establish its core IT infrastructure on Google Cloud when its customer base began growing exponentially in 2015, and the need to scale operations digitally became more critical. Twiga first began to store all of its business and operational data securely on Google Cloud using the Big Query data warehousing product. This, in turn, led to the transformation from a manually driven company to a technology-enabled business that relies on artificial intelligence (AI) and machine learning (ML) tools—applied on top of the data warehouse—to make smart business decisions in real time.
Today, there are approximately 1,000 farmers in Kenya who benefit from Twiga’s dynamic pricing capability, ensuring they are paid fairly for their products. The capability is powered by Big Query and Data Studio, Google Cloud’s data analytics solutions, and factors in local dynamics that impact pricing. This functionality enables Twiga to make the correct decision on the price it gives to each of its customers.
The digital transformation of Twiga Foods on Google Cloud also empowers the 140,000 vendors who rely on the company to receive fresh produce for their shops every day. Today, vendors can purchase products on credit based on their credit score. Twiga relies on the analysis of vendor data on Big Query, which leverages insights such as vendor metrics and modes-of-ordering to create a credit score for each customer.