Digitalization of data is only the first but the foremost step towards creating a “digital twin” of any supply chain. I began exploring this interface to digitalize the data of a small liquor store located in Bangalore, India for a fellow supply chain enthusiast-turned-business owner. Pain points included the current process, which involved paper-based inventory and sales tracking that often led to mismatches in balance sheets. There were excessive, obsolete SKUs in the inventory. Finally there were erratic ordering patterns, which in turn led to negatively affecting customer service.
Once we have collected and digitized adequate data to streamline the ordering policies, understand the safety stock requirements, and reorder policies, the next step would be to bring in the freight and transportation side of the data and ultimately automate the process and assist in data-driven decision making
Being a core supply chain professional, apart from ETL tools like SQL and other statistical tools, coding per se and creating REST APIs were not very familiar concepts for me. Building this application using AppGyver has been the greatest learning experience for me in terms of becoming more self-sufficient, as well as having the flexibility to customize the requirements to fit the design. I was able to run a few quick iterations based on making it not only user-friendly but also intuitive.
Fortunately, the forum is filled with resources, it is quite self-explanatory and guides the user step-by-step. With Airtable I created a REST API to connect my backend data, which enabled the user to easily export to Excel and provide easier model building and visualization capabilities.
Looking forward to using Appgyver as a full replacement to full stack development and it would be great to see the enablement or compatibility of plugins to connect to a Bluetooth printer in order to make it a full functional application to solve end to end real world problems.
Happy Building !:)
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