Digital platforms have made a significant impact in the domain of agriculture, helping farmers to access information from a wide range of markets and get better prices for their products. Aquaculture and shrimp culture in particular is one of the fastest-growing agricultural sub-sectors providing food for the world‘s growing population. The shrimp supply chain in developing countries like India is not efficient and hence unsustainable. The main challenge in aquaculture is the uncertainty found in all stages including supply, production, and distribution. We seek to address the following questions: what are the sources of information inefficiency in the shrimp supply chain? How could a service dominant-logic view of shrimp farming supply chain inform digitally-enabled innovation in a developing country context? We analyze the shrimp supply chain and farming practices using multiple case studies in two different Indian states. Four meta-theoretical foundations in service-dominant logic namely actor to actor-network, resource liquefaction, resource density and resource integration which are relevant to service innovation were used to analyze the case study data. Our analyses bring out the key information gaps in the aquaculture supply chain. The core contribution of this work is a framework theoretically informed by service-dominant logic and platform requirements of the key stakeholders. This study could serve to advance research on digital platforms and supply chain management especially in the context of developing countries.