Logistic and Supply Chain
Multichannel Contact Center
Nexive is the first private player in the domestic market of postal shipments and e-commerce. Every day Nexive is the choice of more than 30,000 Italian business operators such as credit institutions, insurance companies, media and TLC operators, small- and medium-sized businesses,and a large number of Public Administration companies. The key for their success is the ability to develop top ranking IT services and an extensive integration of all phases underlying the production and distribution of correspondence.
In 2015, Nexive selected Assist as their Outsourcing supplier of Contact Center services, on the twofold purpose of enhancing performance, through increased operational efficiency and automated processes, and supervising the evolution of their customers’ contact channels (senders, partners, addressees).
top-class customer care management was mainly entrusted to internal departments, branches, or the commercial network, with subsequent difficulties in delivering a structured Customer Service process suitable to monitor operational KPIs and the levels of satisfaction.
Following an initial mapping of the operational contact management procedures of the various segments of Nexive’s customers, we determined the requisites of the new access IVR, undertook the management of phone contacts with our specialized agents, established the continuous quality improvement/control processes of Contact Centers (affecting CSIs and NPS) and analysed the contact case records to design and implement the most effective multichannel strategy.
In this perspective, a significant reduction of live contacts was achieved in favour of alternative high-productivity channels (SMS, Chat) suitable to ensure higher Customer Satisfaction feedback. Assist implemented the new contact channels in terms of selection of the IT tools (M4Assist platform and third parties solutions), setup, operative release, management procedures update, introduction of automation protocols through the proprietary Natural Language Processing (NLP) engine.
The multichannel Contact Center (inbound, chat, e-mail, SMS) so implemented proved suitable to ensure high productivity standards and manage the contacts in full compliance with the targeted KPIs.
Remarkable increases were achieved, through management of newly implemented channels, with regards to customer satisfaction (CSI and NPS).