by twieberneit | Nov 17, 2021 | Blog |
During the past weeks I had a couple of observations and conversations that lead me to thinking that sometimes software vendors underestimate the power that their machine learning based systems could have to improve the lives and experiences of employees and customers. From various vendors in various lines of business, from process mining and automation via application performance monitoring to vendors of conversational AI and pretty much everything in between I hear something like the following: “Our machine learning based system continuously analyses the process/interactions and detects anomalies. From there on it identifies the patterns and can make suggestions how these anomalies can be avoided or resolved.” Of course, this is paraphrased, but you get the meaning. Here are some examples. A real life scenario that I once encountered is as follows: A global B2B e-commerce solution using synchronous pricing is set up in a template approach. It is using one single ERP system for pricing. This is a pretty common B2B scenario, as it is often not feasible to replicate all prices to the e-commerce system, due to the sheer amount of product – customer combinations that are possible. In this scenario, adding a product to the shopping cart involves multiple calls from the e-commerce solution to the ERP system to establish the price. The pilot country site is close to the country that hosts the ERP system. Implementation of the e-commerce solution happened in the country that hosts the ERP system for all e-commerce sites. Deployment into the target countries can happen only after the testing phase, which is clearly suboptimal. Adding a product to the cart...
