Robotic process automation (RPA) can help automate existing manual processes, but is only a step on the path toward transformational automation and algorithmic retailing. For modern retail, speed kills or, more accurately, the lack of speed in decision making is deadly for the business. Simultaneously, the need to use more data, and make more detailed and specific intelligent decisions across an increasingly complex unified retail commerce operation, is growing. This tension has engulfed business users throughout the organization.
While there are many potential target retail processes with tasks and subtasks suitable for RPA, it’s important to develop a framework to evaluate these and assess the level of complexity associated with each. In various industries, RPA is applied to existing business processes that have many repetitive, but requisite, tasks. Therefore, targeting low-hanging fruit, in the form of processes that require a high volume of basic calculations, highly repetitive actions with many executional steps and risk from transcription errors. is likely the best place to start. This will immediately improve the speed of execution and accuracy of decisions, and will free up human workers to be redeployed to more fruitful endeavors.
The recommended framework for evaluation:
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