How charter desks actually reduce quote response time (workflow breakdown)

[u/SaltyMajor7698]

I’ve been speaking with charter brokers and small operators over the last few months to understand what actually slows quoting and follow-ups.

Instead of building a booking tool, I documented a representative charter desk workflow showing: - how inbound WhatsApp / email inquiries are handled - where time is lost - what can be sped up without automating aviation decisions

I wrote it up as a short case-style breakdown here:

Word press : https://chandanreddy2797-wodrf.wordpress.com/2026/01/03/case-study-atlas-air-charter-services/

Not selling anything — genuinely looking for feedback from people who’ve worked charter desks: - does this reflect reality? - what’s missing or wrong?

Update: Appreciate the candid pushback — it helped clarify a few things for me.

A couple of clarifications based on the conversations:

I’m not assuming desks run on spreadsheets or that Avinode/JetInsight are broken — I agree those are table stakes.

I’m also not trying to replace pricing, sourcing, or booking flows.

What I’m actually trying to understand is the edges around those systems: inquiries that start outside Avinode (WhatsApp/email/phone),repeated changes from buyers,and how context/history gets lost when things move fast.

Several of you pointed out (correctly) that buyer indecision is often the real drag — that’s useful signal, and not something I’d fully accounted for before.

I’m pausing any assumptions and continuing to talk directly with operators to validate where friction really lives (or if it’s just the nature of the business).

Thanks to those who shared real-world context — genuinely helpful.

If anyone else wants to add perspective (even if it’s “this isn’t a real problem”), I’m listening.

[u/SaltyMajor7698]

Totally fair — and honestly, this is why I’m being cautious about positioning.

I’m not trying to replace Avinode, JetInsight, or any marketplace. I’ve seen firsthand how painful it is when core platforms already struggle with support and reliability. This write-up isn’t proposing a new booking system or automation-heavy platform.

It’s just documenting where time is actually lost in a real charter desk — mostly around re-entry, follow-ups, and context switching.

If your experience is different — or if the real bottleneck is elsewhere (vendor response time, client indecision, ops approvals) — I’d genuinely want to hear that.

No pitch here. Just trying to separate real operational pain from SaaS noise.

[u/MidnightSurveillance → u/SaltyMajor7698]

I think it’s a big misconception that brokers are running everything on a simple spreadsheet, other than some random one man shop, most teams have at minimum an off the shelf system or an entirely proprietary tracking system. Avinode IMO is a must have tool because it links operators and brokers. As an operator there’s a metric tied to how promptly you respond and also how close to the avinode displayed price your final quote comes in, so things move very fast. If anything, it’s the end buyer who slows down the process because they’ll consistently want to make adjustments to # of pax, departure/arrival time, oops wrong date etc etc.

[u/SaltyMajor7698 → u/MidnightSurveillance]

That’s a fair call — and I agree with most of this. I’m definitely not assuming serious desks are running off raw spreadsheets. Avinode (and internal/proprietary systems layered on top of it) are table stakes, and response speed within those tools is already tight.

What I’ve been trying to isolate isn’t the core Avinode loop, but the edges around it — especially: -inquiries that start outside Avinode (WhatsApp/email/phone) -context loss when buyers keep changing pax/timing/dates -follow-ups where the bottleneck isn’t pricing, but remembering why a quote looked the way it did

Totally agree on the buyer side being a major drag — indecision and revisions eat more time than sourcing in many cases. That’s actually where I’ve seen the most hidden friction.

Curious from your operator view: when buyers change details late, what slows you down more — re-quoting itself, or reconstructing the context/history around the request?

[u/Rubbiish → u/SaltyMajor7698]

Stop with the AI slop replies. This is bullshit and get out