Call Center Cost Reduction: Moving to Zero Call Resolution

Here’s the hard truth: if your customer has to pick up the phone to call you, you’ve already failed them. Discover how conversational intelligence can help you achieve zero-call resolution and call center cost reduction.
Contact center with agents handling customer call.

Why Channel Deflection is Critical to ROI-Fueled CX

Every call in your contact center represents a breakdown in your customer journey. Customers don’t want to call; they want quick and easy solutions. The moment they have to dial your number, frustration is likely already simmering. The friction of navigating IVRs, waiting on hold, and repeating information can erode loyalty in seconds. Yet, it’s not just the customer paying the price for this breakdown—your business is footing the bill, too, in more ways than one.

The True Cost of Contact Centers
The true cost of relying on traditional contact centers is staggering. Staffing, training, infrastructure—these expenses pile up, and the result is often a system straining to keep up with an overwhelming volume of calls. However, the most dangerous aspect of this reactive approach is that it fundamentally undermines the customer experience (CX), leading to dissatisfied customers and missed growth opportunities.

So how can companies eliminate the need for customers to call in the first place? By moving to a strategy of zero call resolution through channel deflection—meeting customer needs proactively and driving contact center cost reduction before they even think of reaching for the phone.

The Financial Burden of a Reactive Call Center

Let’s break down the expenses of maintaining a traditional contact center that prevents call center cost reductions:

1. Staffing Costs: Running a contact center is expensive. It requires an army of agents to field calls, troubleshoot, and resolve issues. Yet, many of these calls could have been deflected through other channels like self-service or automated solutions. The more calls you receive, the more people you need on hand, and this cycle leads to mounting labor costs.

2. High Agent Turnover: Contact centers suffer from notoriously high turnover rates. Dealing with repetitive and often stressful calls takes a toll on agents. High turnover leads to increased recruitment costs, loss of institutional knowledge, and the need to constantly onboard new employees, all while sacrificing service continuity.

3. Training and Coaching Costs: New hires must be trained not just on your product or service, but on how to handle a wide variety of customer issues. Regular coaching and upskilling are necessary to keep agents effective, especially as new products, policies, or technologies roll out. This constant training cycle can become a significant operational cost.

4. Infrastructure Expenses: Beyond staffing, the infrastructure needed to run a contact center is a massive financial drain. This includes physical space, telecommunications systems, workforce management tools, and advanced call routing software. These are crucial for managing high call volumes but can quickly spiral into a cost-heavy operation.

5. Scheduling Complexities: Managing agent schedules to match peak call times is a challenge that plagues most contact centers. Too few agents mean long wait times and frustrated customers, while too many agents during off-peak hours lead to underutilization and wasted resources. Balancing this requires constant monitoring and adjustment.

6. Inconsistent Issue Resolution: Customers expect quick and accurate resolutions when they reach out, but in reality, many issues are escalated or require follow-up. Real-time identification and resolution of problems are complex, especially when agents are overworked and juggling multiple tasks. The result is longer handle times and a less satisfying experience for the customer.

Reporting on revenue impact of resolving issues using AI versus human intervention.

How to Reduce Contact Center Costs to a Zero Call Resolution

So, let’s get down to brass tacks. How can you start to quantify this? The ultimate goal of zero call resolution, and going 100% self-service as a business model is straightforward and directly linked to call center cost saving:

  1. How many customer calls do you handle in the contact center per year? (Eg, 250,000)
  2. What is the average cost per call? (Eg. $5.00 fully loaded with call center systems and agent handle time and note-taking)
  3. Multiply those numbers together and that’s the ultimate goal of ROI you’re chasing. (Eg. $1.25 million per year)

You got us, it’s never that simple. Moving towards a zero call resolution model requires a dedicated focus to understand why customers are calling in the first place, which topics and issues drive the highest number of inbound calls, and then game-plan the best way to systematically solve the issues through channels that your customers prefer.

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Real-World Examples of Channel Deflection Success

To truly reduce contact center costs and get to zero call resolution starts with conversational intelligence. If you’re unable to derive the purpose of repeat calls then how are you meant to fix them with less expensive channels and methods? Here’s the integrated customer experience framework from the companies who see tangible results from zero-call resolution:

Gather Signals: Collect conversational data from every interaction that reaches the contact center.Generate Insights: Understand the reasons that led customers there and how the issue was resolved.
Take Action: Work with your CX teams to create in-channel experiences that resolve issues before reaching the service agents.Measure Impact: Track and report on the impact of channel deflection, understanding the reduction in calls per issue topic, and the associated cost.

Like the example above, leading businesses across industries are already reaping the benefits of channel deflection and zero-call resolution strategies. But none of it is possible without conversation intelligence.

How Conversation Intelligence Empowers Zero Call Resolution? 

Conversation analytics software is the conversational intelligence solution for contact center and CX leaders that need to reduce costs to serve and increase customer loyalty—and the foundation to build your strategy to zero call resolution. 

Through the use of advanced AI technology, organizations can make sense of customer interactions from multiple channels, identify root causes of repeat issues using individual speaker analysis, and use those insights to create self-service customer journeys that deflect from expensive channels like call centers or in-store conversations.

Here are a few ways that companies have used their insights from conversational intelligence to deploy lower-cost service options:

  • AI-Powered Agents: Intelligent chatbots, powered by natural language processing (NLP) and generative AI, can converse with customers to discover and understand issues, handle routine inquiries like account balances, shipping statuses, and FAQs preventing the need for human intervention. 
  • Rapid Resolution: In-channel text analysis of customer feedback that identifies expensive repeat issues that have been flagged by the business, and produces resources that are proven to resolve the concerns and let customers indicate their satisfaction, or escalate to an agent.
  • Robust Knowledge Bases: Self-service portals with detailed, searchable knowledge bases empower customers to resolve issues on their own. This reduces inbound call volume while boosting customer confidence in your brand.

Customer Communities: Forums and online communities allow customers to help each other, share knowledge, and offer solutions. Businesses like Microsoft, Atlassian, and Salesforce have used this strategy effectively, encouraging customers to seek peer support before contacting official channels.

These approaches not only deflect calls but also foster a sense of independence and satisfaction among customers.

How Can InMoment Help Reduce Call Center Costs?

InMoment specializes in helping organizations generate increased revenue and lower costs by improving experiences and interactions. We know conversational data such as chat logs and transcripts contain the nuggets of gold that can make customers happy and reduce call center costs. Collecting that data is the first step to any CX-focused strategy and zero call resolution—collecting feedback to make data-driven decisions.

We then work with our clients to safely use natural language processing and advanced AI to power our predictive customer analytics to make sense of every byte of structured and unstructured data as it relates to their goals. Whether it’s starting small with call center cost reductions or big with targeting zero call resolution at the outset or a phased approach of increasing first call resolution, we provide out-of-the-box and customizable models and workflows to get to the insights quickly and in a way, your team understands and trusts. 

Finally, we provide the technology and strategic guidance to break down data and team silos to help your teams take the smartest actions. From case management to impact prediction, our solution gives your frontline teams the tools they need to identify the root cause of issues and share their perspectives on how to avoid repeat calls—getting your business closer to zero-call resolution and high ROI customer experience programs.

Conclusion

Reducing call center costs and moving to zero call resolution is no longer a nice to have—it’s a necessity in a customer-first world. By focusing on channel deflection, businesses can save on operational costs, increase efficiency, and vastly improve customer experience. Through the strategic use of technology, proactive engagement, and a commitment to seamless CX, companies can avoid the pitfalls of traditional contact centers and build a reputation for putting their customers first. The result? Lower costs, happier customers, and a future-proofed brand.

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Sam Middleton

Sam Middleton, VP of Product and Solutions at InMoment, has been with the company for nearly five years. Leveraging his deep understanding of client challenges, Sam helps tailor InMoment’s offerings to meet business needs. His insights contribute to evolving services and support the ongoing innovation of InMoment’s products and solutions.