Discover insights in unstructured data through natural language processing (NLP) and advanced text analysis powered by our AI.
of increased satisfaction
customer (CSAT)
reduction in operating costs
more range of efficiency and speed in service deliveries
Companies can only grow and protect their revenues if they understand and act impartially on all customer signals in every interaction, and in real time.
That's why with each interaction, the Reach Platform identifies contexts, behaviors, sentiments, stages of the customer's journey and automatically triggers alerts to the team and suggests real time actions, developed with the objective of correcting flaws in the revenue generation chain.
Lack of accurate data on customer interactions
Failed to resolve issue on first contact
Completely fragmented customer service architecture
Expansion is difficult. Everyone wants to be omnichannel
Behavior mapping of customer interactions across the business journey
Virtual service agents
Real-time call analytics and agent assistance
Post call analytics
Operating segments
Marketplace | Automotive
Monetization of an additional BRL 5M per month with context monitoring in +200 thousand voice calls (in real time), in +10 thousand different locations.
Industry
Monitoring and automatic qualification (Score) of sales attendance in more than 50 thousand voice calls (day), in more than 600 resellers in the industry.
Services
Lead generation and sales monitoring of sales and service process in more than 1,500 franchise units.
Financial
Increase in agents productivity in Customer Service and telesales areas, with the automation of personalized customer service, based on predictive triggers identified in real time, during interactions. Voice monitoring and digital channels (including Whatsapp).
Fintech
Monitoring the voice of the customer on social networks, in more than 4,500 agencies throughout Brazil, automating service prioritization rules with the behaviors identified by artificial intelligence.
Retail
Increase in customer satisfaction, based on the automation and implementation of spontaneous NPS, without the need to answer customer surveys. Predictive patterns based on the interactions of tens of thousands of monthly multi-channel interactions processed.
- Performance monitoring
- Targeted and focused training
- Standardization of support processes and procedures
- Understanding of main points of attention
- Focus on quality and customer satisfaction
- Trends by product/service
- Complete customer journey
- Monitoring of critical cases/risk of cancellation
- Improved processes and procedures for contact cases
- Search for points of attention in relation to products/services
- Real-time problem alert (increased trend of search for issues/complaints)
- NPS
- Conducting sales process assessment
- Objective sales performance evaluation
- Forecast construction based on the real temperature of the leads
- Understanding the customer journey and predicting the ideal purchase moment
- Appointment of customers with the highest chance of future conversion and call scheduling
- Complete sales speech analysis
- Automation of CRM notes
- Clear view of potential customers' purchase stage
- Understanding of upsell and crossell behavior to improve sales performance
- Understanding of the main points of doubt regarding the product
- Gathering customer suggestions from unstructured data
- Research trends and interests of the consuming public based on unsolicited feedback
- Understanding of the main points of doubts regarding the products
- Redesign of products and services according to usage and customer feedback
- Development of new products/services according to the customer's voice
- Clearer understanding of Customer Journey and why they contact the company
- Use of unstructured feedback to review customer processes and experience improvement
- Understanding the main points of customer satisfaction and dissatisfaction
- Voice of the customer based NPS from unsolicited feedback (real sentiment)
Integrations: