Abstract: A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.

Abstract: Techniques are described herein for generating a deal score to indicate a relative value of an offer for a commerce element. In one example, the deal score for a particular offer is based on a difference between a discounted price specified by the particular offer and an average of discounted price(s) specified by other offer(s). If the difference reaches a threshold, then a relatively high deal score is generated. Otherwise, a relatively low deal score is generated. In another example, the deal score is based on a difference between an intermediate value and the discounted price specified by the present offer. The intermediate value may be provided by combining discounted price(s) specified by other offer(s) and the non-discounted price of the commerce element being offered. If the difference reaches a threshold, then a relatively high deal score is generated. Otherwise, a relatively low deal score is generated.