peak season · requests arriving in waves
AI onlinePeak season hit and one agent is handling every inbound request?
One agent on the desk.
The AI answers like a whole team.
In season the inbound volume is far past what one person can hold. The AI takes the first line: instant, parallel replies, preliminary pricing, requests filed in the CRM. Your agent keeps the exceptions.
3 days free on any plan. No card required.
a site request at the busiest hour
A quote in a minute instead of "please hold, all agents are busy"
in short: how this gets solved
Peak season hit and one agent is handling every inbound request? Here is how it gets solved.
AI takes over seasonal customer support without hiring temporary agents: it runs ten, fifty, a hundred conversations in parallel, with no fatigue and no queue. A customer sends a request and gets an answer right away — the AI clarifies the route, dimensions and weight, checks lead times, prices preliminary terms by your rules and files the request in your CRM.
Your one live agent handles the exceptions: oversized freight, complaints, large contracts. When 150 requests a day arrive at peak and ten or twenty die in the queue, the saved conversations pay for the system in the first peak month. Once the season ends nothing needs cutting — the AI simply handles a smaller flow.
In Botseller this runs without a developer: a site widget, a knowledge base of rates and routes, rules for handing a conversation to a human. A carrier with seasonal waves fits the Business plan: several channels, a team CRM and reports across the whole funnel.
a hundred conversations running at once
The queue disappears because it has nowhere to build up
The AI runs every conversation in parallel: site, WhatsApp, Telegram. Only oversized freight and complaints reach your agent.
why this happens
Why hiring never fixes the peak-season queue
A seasonal peak is cruel arithmetic: three to four times the usual request volume, and it lasts two or three months. Staffing up for it makes no sense — by the time new agents know your rates, the season is already over, and you either pay them all year or lay them off and lose the knowledge. An outsourced call center knows neither your routes nor your pricing, so it becomes an expensive answering machine.
One agent at peak works as a bottleneck: they answer sequentially while requests arrive in batches. A customer with freight on the dock does not wait in line — they send the same request to three carriers at once and go with whoever quotes a date first. So the requests you lose in season are not the random ones, they are the most profitable: urgent freight has the shortest patience.
AI changes the arithmetic itself, because parallelism costs a machine nothing: thirty simultaneous conversations are handled like one. A human is needed where experience and negotiation decide the deal, not where someone has to retype a weight and a route into a form. Peak load stops dictating the size of your team.
this is already live elsewhere
A manufacturer closes 80 leads a day with no first line
An illustration of the scenario. Real numbers and details are in the case study.
Case Ecoplit: +20% →what changes
What changes in the very first peak month
The queue disappears as a phenomenon: every customer gets a quote and a collection confirmation within minutes, no matter how many requests landed in that hour, on a Tuesday or a Saturday. Your site stops being a brochure and becomes a working intake channel.
Your agent is no longer the most exhausted person in the company: only oversized freight, disputes and large accounts reach them, the cases where live expertise genuinely decides the outcome. Turnover in that seat drops along with the load.
And you finally see the season in numbers instead of impressions: how many requests came in, how many reached a quote, where people dropped off. So the next peak gets planned from last year's data, not from memories of the chaos. The peak stops being weather and starts being a process.
how much it costs
$359 /mo
The Business plan: 2 AI employees, up to 5 channels, a CRM with roles, 600 conversations a month and funnel reports. Pays for itself on the requests that used to die in the peak-season queue.
No card required. All plans and the annual discount
what people ask before launching
What do we do with the AI once peak season ends?
Nothing: it simply handles a smaller flow. That is the difference from temporary agents, who take a month to train and get let go three months later.
Can the AI price a shipment?
It gives a preliminary quote from your rates and rules: route, weight, volume, options. Oversized freight and special terms go to a logistics manager with the data already collected.
How does the AI know when to hand a conversation to a human?
By rules you set: freight type, contract value, the word "complaint", a direct request from the customer. The handoff carries full context, so nobody repeats themselves.
How many conversations can the AI hold at once?
Parallelism is not capped: ten or two hundred conversations at the same time. Your plan limit counts conversations per month, not simultaneous chats.
where to next
story
Thirty leads in an hour. Not one of them waits for a reply.
AI sales assistant
for your industry
similar situations
Working inside: Communication channels · AI CRM · AI employee
See also: Case: Metropolitan Estate
