Project Management Software for Travel
Peak season arrives on a fixed date whether or not the itinerary platform is ready. ShipSprint plans work against real capacity and flags a slipping date weeks before the season does.
The season doesn't move, even if the project does
A travel business runs on dates that are not negotiable. Summer holiday demand starts when it starts. Diwali and year-end travel spike on the calendar, not on the sprint plan. A booking platform, a new destination package or a partner integration either ships before that peak or it ships into it, and shipping into it is expensive in a way that's hard to walk back mid-season.
The usual failure mode is optimism compounding quietly: a feature slips a week, then another, and nobody notices the cumulative drift until the peak is three weeks out and there isn't enough runway left to recover. By then the options are all bad: cut scope in a panic, or launch late into the exact window that mattered.
What makes it worse is that the signal was almost always there earlier. Standup updates said "on track" because each individual task looked fine in isolation; nobody was tracking the cumulative pace against the fixed date until someone finally did the arithmetic under pressure, usually too late to act on it calmly.
ShipSprint's forecasts exist for this specific problem. They're not a manually updated red-amber-green status; they're calculated from how fast the team has actually been completing work, sprint over sprint. When that pace says the fixed date is at risk, it says so weeks early, while there's still a decision to make, not just a deadline to miss.
What a travel team plans against
Six pieces built for work with an immovable deadline on one end and unpredictable volume on the other.
Partner integration asks, a new package brief, an urgent fix during a booking spike: all land in a triage inbox instead of scattered across email and chat, so nothing sits unclaimed during the exact week volume is highest.
Per-column WIP limits stop a QA or content-review stage from silently absorbing more than the team can clear, and work gets planned against actual bandwidth rather than an optimistic countdown to peak season.
Delivery forecasts run off measured velocity as sprints close, so if the platform work is drifting off pace for the season launch, that shows up while there's still time to reprioritise, not the week before.
Logging hours takes about five seconds and sits next to the task just finished, which matters most exactly when the team is slammed and a twenty-minute timesheet ritual is the first thing to get skipped.
Everyone opens to today's items and one tap to flag "I'm blocked," useful when a dependency on a partner API or a content vendor is the thing standing between the team and the launch date.
Pricing rules, partner terms and package structures shift year to year. A built-in wiki with page history keeps last season's decisions next to this season's work, instead of buried in an old email thread someone has to dig up again.
A season, walked through
Off-season, the platform team plans the year's roadmap against the known peak dates (Diwali travel, summer holidays, year-end bookings) and the forecast starts as a rough estimate because there isn't sprint history to draw on yet, which is expected and fine at that stage.
Eight weeks out from the first peak, real sprint data has accumulated, and the forecast turns from a guess into a genuine early-warning system: a feature the marketing team is counting on for the campaign launch shows up as trending two weeks late, discovered while there's still time to cut scope or add a person, not discovered the week before the campaign was meant to go live.
During the peak itself, volume on everything spikes at once (support requests, content updates, urgent platform fixes) and the triage inbox and WIP limits do the job they were built for: nothing sits unclaimed just because everyone's slammed, and a review stage that starts backing up is visible on the board before it becomes the reason a fix ships a day late. After the peak, the post-season retro goes into the wiki, next to the season's boards, so next year's planning starts from what actually happened rather than what everyone remembers happening.
Platform work and campaign work in the same place
Travel businesses usually run two kinds of project at once: engineering work on the platform itself, and marketing or ops work getting a seasonal campaign or new route live. These typically sit in different tools, which means nobody sees the whole picture until launch week, when it's too late to rebalance between them.
ShipSprint gives engineering, marketing and operations their own templates and vocabulary inside one subscription, so a platform sprint and a campaign checklist for the same launch sit in views built for each team, while the owner command center rolls both into one screen, answering "are we actually going to be ready" without a cross-functional status meeting. That matters most in the final weeks before a peak, when a platform slip and a campaign slip compound each other and someone needs to see both at once to make the right call about which to protect.
Measured on what shipped, not who looked busiest during crunch
Crunch weeks in travel are real: a platform migration timed against low season, a content push before peak booking. No screenshots, no keystroke logging, no activity tracking measure whether someone looked busy during that stretch. The system tracks what got delivered and how many hours were logged, full stop.
Scorecards are adjusted for leave and visible to the person they describe, which matters when a team is working unusual hours around a seasonal peak. Nobody is penalised in a scorecard for taking approved time off after the push is over.
What it costs
A travel business's headcount and workload both swing hard with the season, so the plan you're on should be able to flex without a renegotiation each time volume changes.
- Free covers 5 users and 2 projects, forever: enough to run a pilot on one upcoming campaign before committing further. Team is ₹299/user/month or ₹2,899/user/year for up to 40 users; Business is ₹599/user/month or ₹6,499/year with forecasts, scorecards and the owner command center.
- Billing is per seat in rupees with GST-compliant invoices, and annual billing is available if you'd rather lock in pricing ahead of a busy season than manage a monthly line item.
- Every paid plan opens with a 14-day full-access trial on Business, sample project preloaded, no card required: long enough to plan one real sprint before deciding.
Starting before the next peak, not during it
The easiest time to pilot a new planning approach is off-season, not two weeks before demand spikes, which is exactly when most teams end up evaluating tools, under the worst possible conditions. Running one platform sprint or one campaign checklist through ShipSprint during a quieter stretch gives the forecast enough sprint history to be genuinely useful by the time the next peak actually matters.
Marketing and engineering can pilot separately on the same subscription too: a campaign team trying the content-calendar templates while engineering tests the sprint board, both reporting into the same owner command center once both are comfortable.
Common questions
As soon as the team's measured pace across a few sprints says the remaining work won't fit before the target date, not on the day it was originally due. Forecasts improve with more completed sprints, so the earlier a project starts logging real work, the earlier a genuine risk shows up rather than being buried under optimistic estimates.
Yes. Engineering, marketing and operations each get templates suited to how they actually work (sprints and story points for one, content calendars and launch checklists for the other) on the same subscription. The owner command center then shows both against the same seasonal deadline in one view.
No. WIP limits and triage inboxes exist specifically to handle a surge in incoming requests without a stage silently overloading. If a review or QA column starts filling faster than the team can clear it, that's visible on the board immediately rather than discovered when something ships broken during the peak.
Every workspace is an isolated tenant regardless of plan, two-factor authentication is available to every user, and admin actions are recorded in an audit log. The whole workspace exports as JSON at any time, so nothing about seasonal urgency creates a reason to compromise on data handling.
Seats are billed per user per month or per year, so adding people for a busy quarter and removing them once the peak passes is a normal part of managing the account rather than an exception process. The Free plan's 5-user cap can also work as a genuine off-season baseline before scaling up for the run-up to peak.
Related pages
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