Ticket routing to manage the holiday rush with DevRev support

During the holiday season, the demand for exceptional customer support becomes even more essential for businesses. This period often brings an influx of customer queries and concerns, making high customer satisfaction and loyalty important.

However, the seasonal surge can lead to inefficient ticket routing and assignment, resulting in prolonged customer wait times and an overwhelming workload for support agents.

To address these challenges, many teams adopt rule-based engines and model-assisted classification to automate ticket routing. During the busy holiday season, the aim is to handle customer queries more consistently, distribute the workload more evenly, and give support agents a clearer starting point. Whether those outcomes materialize depends on how a team configures its policies and staffs the queue.

Importance of AI and automation in holiday customer support

Efficiency matters most when the holiday rush hits. Automating the sorting and placement steps can cut the time agents spend triaging by hand, which leaves more room for the complex issues that need a human. That headroom is worth the most during the holidays, when time is tight and customer patience can be short.

Automated routing can also reduce the manual sorting step. With model-assisted routing, a customer query can be directed toward the team or agent a policy judges best-matched, based on the signals that policy reads. Routing selects a destination; it does not by itself decide that the best-suited person has taken the case.

Matching queries to the agents whose skills align with them is the goal of a well-tuned policy. How well that works in practice depends on the quality of the routing rules, the data behind any classification, and whether a named owner picks the work up.

In the next section we'll look at what ticket routing is, the levers a team can set, and where routing stops and owner acceptance begins.

What is ticket routing?

Ticket routing assigns customer support tickets to an agent or team. It reads details like topic, language, and channel and applies predefined rules to pick a destination. When it directs a ticket toward a well-matched agent, the aim is to make support more efficient; how much it helps depends on how the rules are set.

In the past, the ticket routing process has been manual: agents gather incoming tickets from various channels, categorize them based on multiple criteria (such as subject, channel, language, customer importance, sentiment, severity, etc.) and forward them to the relevant individual or team. The goal is timely placement and a clear owner; manual sorting can slow that handoff and leave customers waiting.

An automated ticket routing system can simplify this process and help put a customer's request on a shorter path toward the right owner.

The challenge: Inefficient ticket routing and assignment

The absence of an efficient ticket routing system for customer inquiries, especially during the busy holiday season, creates significant challenges for both customers and customer service teams.

Long wait times and misdirected conversations can negatively impact the customer experience and place undue strain on support agents during this critical period.

To help with this, DevRev Support offers a configurable workflow for routing and assigning tickets. The aim is to point requests toward the team best placed to handle them.

This matters most during the holidays, when inquiry volume is high. The intent is that each request reaches a team equipped to handle it, so fewer tickets bounce before they land. How closely that holds depends on how the routing policies are set up and staffed.

Defining the solution: Rule-based engine and intelligent assignment

When you evaluate customer support software for routing, test two capabilities separately. One is a rule-based engine that places a ticket; the other is assignment logic that proposes an owner for it. A rule or a classification decides where a ticket goes; whether a named owner has actually accepted the work is a separate question, which the [agent-era section below](#routing-a-ticket-is-not-accepting-the-work) covers. Treat the items below as options to assess in a tool, not guaranteed outcomes.

• Custom routing policies: Can support managers define their own policies against the criteria they care about, such as ticket characteristics, team member skills, and customer attributes? This is the lever most teams tune first; whether it shortens resolution depends on the rules a team writes.
• Assignment logic: How does the tool propose an owner for a new ticket or conversation, and which signals can it read, such as availability, workload, skill set, or historical performance? Matching an agent to a task is the intent; confirm which of these signals your configuration actually supports rather than assuming all of them.
• Policy suggestions from history: Does the tool offer to suggest routing policies from past tickets, for example by grouping similar tickets? Where available, this can save setup time, but review each suggested policy before you trust it, since a prediction from history is still a prediction.

Driving success: The power of customization

Customization is where routing earns its keep. When you compare tools, look at the routing dimensions each one lets you set, such as time-based routing across time zones, content-specific routing by topic, and attribute-based routing for a tailored approach. The list below is a checklist for your evaluation, not a promise about results.

• Custom routing policies: Check whether support managers can author policies that fit their team's workflows. Done well, tailored policies can improve how accurately tickets land; the gain depends on the rules you write and the data they read.
• Policy suggestions: Where a tool can propose routing policies from past tickets, that may shorten onboarding. Treat each suggestion as a draft to review, not an auto-applied rule.
• Assignment logic: Ask how the tool proposes owners and which signals it balances, such as workload across the team. Balancing load is the aim; whether it reduces imbalance in practice is something to verify against your own queue.

User stories: Empowering support teams

Routing has to work for two groups during the holiday season, so it helps to picture what each one needs:

• For support managers: The goal is to let managers create and manage custom routing policies without heavy overhead, so they can adjust coverage as inquiries spike. When assignment logic points each query at a well-matched agent, the aim is steadier team performance; the result still depends on how the policies are set.
• For support team members: A clear view of assigned tickets helps agents keep track during a high-volume stretch. If the tool lets them reroute a conversation to a better-suited colleague, that keeps a misrouted query from stalling with the wrong person.
• Prompt and accurate responses: Routing to team members who are online can help, so a request is less likely to sit with someone unavailable. It does not on its own prevent delays; a routed ticket still needs an owner to pick it up, which the next section addresses.

Other enhancements to help you during the holiday season:

Route tickets based on availability

Don't leave your customers hanging when they reach out. Availability-based assignment can route inquiries toward team members who are online, so a request is less likely to land with someone who is away.

Give your customer a seat at the table

If your support setup lets customers request escalation through a portal, decide which requests qualify and who accepts them. Verify that action in the current configuration before promising it to customers.

Effortlessly escalate complex tickets

An L1 teammate may change a group assignment to request higher-tier review if the current setup supports it. Verify the notifications and receiving-owner step; changing a field alone does not prove acceptance. See ticket escalation for how a tiered handoff differs from routine routing.

If you're hungry for more, automated ticket routing is just one of the areas we have updated recently. Our engineering team ships new features, fixes, and design improvements on an ongoing basis, which you can follow in the DevRev changelog.

Future enhancements and beyond

Routing policy design should become easier to inspect as a team learns from missed assignments. Prioritize clearer rule ownership and acceptance reporting before considering incentives or leaderboards for support agents. These are evaluation priorities, not announced product features.

Routing a ticket is not accepting the work

Routing decides where a ticket goes. It does not decide that anyone has picked it up. During the holiday rush, that gap is where a request goes quiet: a rule drops the ticket in a queue, and a dashboard shows it as assigned. The customer still waits, because no named owner has taken the case. Routing is distribution, not resolution, and an AI classification is not the same as acceptance.

It helps to separate three things the busy week tends to blur together:

• Rule-based routing. A deterministic policy sends a ticket somewhere based on fields you set – topic, channel, language, availability, or customer attribute. The rule is only as good as its inputs, and it places the ticket; it doesn't confirm a person is on it.
• AI classification. A model reads the request and predicts an intent, topic, or priority to inform where it should go. Useful as a routing input, but a prediction about a ticket is still a guess about placement, not evidence that work has started. Ticket triage covers the classification step on its own.
• Owner acceptance. A named person or an accountable team explicitly takes the case, with the context they need to act. This is the state that actually moves a customer forward, and it's the one most routing views don't show.

So treat the handoff as fields to set, not a prefilled promise:

If you're evaluating tooling for this, the useful test is narrow. Can the configuration carry the context the owner is allowed to see along with the routed ticket? Can it keep the ticket visible until a named owner accepts, and record that acceptance? Those are buyer questions, not assumed features. A human-input pause or an inbox notification is not the same as accepted ownership; human-in-the-loop actions explains that boundary.

For the broader system around routing, customer service automation software is the hub. And a request that should be answered before it ever reaches a queue belongs with ticket deflection.

You can evaluate Computer, by DevRev against that routing-to-owner path, scoped to the sources, routing basis, and acceptance step your own configuration supports, not a native routing timer or SLA you should assume.

Conclusion

DevRev's routing approach is shaped by customer requests and the product requirements our team defines. The building blocks are familiar ones: a rule-based engine that places a ticket and assignment logic that proposes an owner. Tuning them is meant to make support more efficient and shorten the path to the right owner. Those gains come from how a team configures and staffs its policies, not from the mechanism alone.

Customization is what lets teams shape workflows around their own needs. Whether that produces a smoother support experience is something each team measures for itself. The one thing to keep separate as you tune those workflows: a routed ticket is not an accepted one, so watch the owner-acceptance state, not just the assignment count. A few practical holiday customer support tips can help keep response times steady even when seasonal query volume spikes.

To pressure-test your own routing-to-owner path with a case from your queue, review it with Computer and check which steps the supported setup can demonstrate.