All client activities are organized in a central dashboard, which includes not only the leads and contacts themselves but also agent activity pertaining to company business. Avos also enables end users to integrate or import contacts, tasks. and schedules using third-party software or apps or through certain file formats (usually CSV). Similarly the analytics data can be exported as reports.
Avos packs an inbrowser calling feature for the agents to call leads directly from browsers without any third-party installations. and also schedule/regulate dialing for optimal calling rate and minimum call drops, all in one click.
Avos will provide an activity feed of agent that belong to the same group or campaign. This is helpful to monitor progress on specific cases from a collaborative or managerial stand-point. It informs agents, managers, and admins how much progress has been made toward certain goals. Activity reports can also be exported.
Avos can be configured to automate (in various levels of automation) any routine tasks such as record updates, task creation and assignment, notifications, report creation, and specialized automations for marketing, sales, and customer service. Automation is made simple with well designed intuitive U I and easy configurations.
Avos enables consolidation of the client data from several sources or databases into a single database (High Availability if req). This data can be synced and updated for use in all the integrated platforms required during customer interactions.
Customer interactions can be personalized (account or campaign level) based on demographic criteria, purchase history, interaction history, channel preference, and more.
Avos leverages machine learning algorithms like clustering, recommendation systems, natural language processing. classifiers for various modules like transcribe and sentiment analysis, analyse speaking patterns to correlate with caller's emotional states, score, nurture and qualify leads, model customer interests, predict opportunities and forecast sales. The data obtained from all such analytics is used to provide sales intelligence and business opportunities.
Avos AI automates 'real communication' with all customers through email to nurture, follow up and cross sell. For example the tasks like obtaining the best phone number, time to call, purchase criteria and after sales feedback, can be automated all through email. This data can be directly mapped to other modules of Avos, hence enabling the agents to focus directly on voice calls.
Avos Customer service AI can help organize inbound help-desk calls by predicting which group or agent is best equipped to deal with certain tickets. It can also recommend best responses based on ticket criteria or a response template for certain tickets. Further the system can predict case metadata to reduce data entry and suggest or automate responses to lower average resolution time, provide a consistent experience and improve customer satisfaction. Customer service Al also learns from past successful ticket resolutions to identify similarities with existing tickets and suggests steps to resolution.
Avos AI processes existing Avos CRM and marketing data such as behavioral and demographic information, adding marketing indicators from public databases, and identifying buying propensity from past closed deals to provide real-time scores for current leads, which facilitates in devising and updating an analog model for focusing on leads on priority for more closed sales.
Avos AI applies data mining, analytics, and machine learning drawing from public data sources and market domain data to provide business intelligence, historical analysis, real time trend and sentiment analysis, monitoring and alerts. This module has customizable configurations to choose business domain, add rules, add sources etc. , which help in making better models for predictive analytics.