AI for Customer Care
AI for Call Centers, Customer Care or Contact Centers: Redefining the future of Customer Services with AI.
High quality and personalized customer service is becoming a key challenge for enterprises.
Contact centres play an increasingly strategic role. Call centers represent a significant weight on businesses, up to 7% of operational costs for a CAC 40 company.
However, only 8% (source: “Closing the delivery gap” – Bain) of customers think they receive a superior quality service by calling a contact center.
Artefact is building the call centers of the future: 3 AI-powered solutions for 3 benefits:
- Improve customer satisfaction: Ensure ensure a better level of customer satisfaction throughout the call centre chain
- Improve quality of service: Coach each of your agents with personalised insights to improve the quality of service
- Reduce operational costs: We work with you to automate low added-value requests to focus on more complex tasks
Michel TOURNIÉ – Digital and Data Projects Lead, MAIF
Client Case: Speech Analytics solution with MAIF , insurance company.
“Artefact developed Natural Language Processing (NLP) algorithms to understand customer call topics. It helped us identify new selfcare functionalities to develop on the MAIF website. Thanks to this, we obtained good insights of what our customers really need through the analysis of their calls.”
Key benefits:
- 1.3M calls (20%) calls identified as avoidable because they are low added-value requests for the agents.
- +15 new online features to be integrated in the selfcare roadmap that answer these low added value requests.
SPEECH ANALYTICS: Generate actionable business insights from your call records
We help you analyse customer or agent conversations to understand why calls are being generated. We then recommend processes and structures to minimise these. What we offer:
- Reasons for contact: We understand why customers are reaching out to your contact centres and anticipate their needs.
- Customer Satisfaction: We measure customer satisfaction and identify and address the root causes of dissatisfaction to prevent it.
- Quality Monitoring: We assess agent performance in order to help them improve their quality of service.
Value: Avoid up to 20% of calls by addressing new customer needs with more than 15 new online features identified from customer call insights.
AI COACH: Help your agents in real-time with a voice-based assistant
- Customer request Diagnosis: Reduce the time needed by your agents to identify customer issuers.
- Script walkthrough: Make sure the agent follows the correct contextualised resolution pattern.
- Information retrieval: Automatically display the information requested by the customer.
Value: +10% of first call resolution rate (Artefact client Average).
AUTOMATED SUPPORT: automate first level support and pre-qualify complex requests
Qualify customer request: Replace the traditional IVR systems to welcome customers and qualify inbound requests.
Answer simple requests: Automate the 1st level of support for all low-value requests.
Route the request to the best available agent: Identify and route the more complex requests to the most appropriate agents.
Our expert content about Data & AI transformation
Orange bets on AI for network optimization, automation
Artefact mentioned in this interview from Brelotte Ba, deputy CEO of Orange Middle East and Africa, by Connecting Africa, on Orange's latest AI and GenAI...
RISE to success: a data-driven approach for new launch product buying
Effective category and product management are crucial to the fashion and apparel industry, directly impacting sell-through rate — a key inventory management KPI and a...
Shaping data strategy through a comprehensive assessment of data maturity
In the dynamic landscape of modern business, data has emerged as a cornerstone of success, driving innovation and informing decision-making. Yet, the mere accumulation of...
Placing AI at the core of business strategies: A technological and human transformation
AI has the potential to enhance companies' growth prospects, but its deployment within organizations requires strong business and technological expertise, as well as the establishment...
The great data platform race: Why your AI strategy might be missing the mark
Remember Business Objects? If you do, you might see where I'm going with this. We're heading into a period where Large Language Models (LLMs) capable...
Framework Solutions: Empowering Clients for Seamless AI Governance Compliance
Explore our 4-step framework for building a strong AI governance foundation while ensuring compliance and maximize the benefits of AI for your organization. This is...
Consumer data collection in China: How can brands learn what they need to know?
The most common question people ask Edouard de Mézerac, Artefact APAC CEO, is what kind of data a company or brand can access about consumers...
AI and Competitiveness: Five Predictions for Retail by 2030
Jérôme Petit, Managing Partner & Global lead Retail at Artefact, examines the uses of AI to see how it will serve retail by the year...
Generating impact with AI: The human qualities that can make it work better
Despite general agreement that AI will transform most industries in the coming decades, a recent BCG survey of 2,700 companies revealed that only 11% have...
AI in Singapore and China: Opportunities and challenges for multinationals
In a recent weekly video update, Edouard de Mézerac, Artefact APAC CEO, reported that Singapore's Deputy Prime Minister announced “a substantial investment of one billion...
Demystifying digital twins: What they are and how your business can benefit
Discover the value of creating digital twins for each sector, bringing increased productivity, reduced time-to-market, and improved customer satisfaction.
Unveiling the Future of Consumer Engagement: Key Insights from Artefact’s latest breakfast event – “Trailblazing Consumer Engagement with Data, AI, and GenAI”
On 26th April 2024, Artefact Singapore and our Tech Partner, Treasure Data, a leading solutions provider of Customer Data Platform, held a panel discussion where...