In addition to combining multiple data sources, the powerful appeal is in the speed and simplicity of the user interface. With a qualitative query, the LLM could almost instantly analyze demand seasonality, calculate a KPI, or call up a history during a meeting as needed. This will truly be a revolution in productivity and data-driven insights.
Process automation with LLMs
One less-publicized ability of LLMs is to trigger events based on user prompts. One LLM even hired a person through TaskRabbit to perform a task it was not permitted to do. More relevantly, LLMs can even perform basic coding and build web pages based on sketches.
Extrapolating to the world of supply chain, here again, there is endless potential, though it admittedly is speculative. Product-code creation provides a useful, illustrative example. Creating and populating a product code as an ERP is one of the knottiest operational-data challenges in a company. There may be hundreds of required data fields across many functions, many of which are interdependent, and without which the system is blocked.
With a simple prompt, an LLM can create a new code identical to another one, change data values, analyze, report on missing or incoherent data, and make mass changes. This last usage will certainly require a very high level of confidence in the LLM and while it is not something one could expect to happen in short order, it is certainly both possible and plausible.
A more immediate use could be in finite-capacity planning, for example. Very few companies have succeeded in automating production planning at the resource and product level, smoothing production and respecting capacity constraints, other than in the simplest of contexts. The trade-offs between working capital, line utilization, labor, material availability, and service, has proven to be too complex to model and demands high-maintenance prioritization data.