A dormant "Send Greetings" feature became a +168% engagement story when we fused Gemini image-gen into it. The unlock was geo-segmentation: 27 festivals across five Indian regions, surfaced at the right moment in the merchant's existing workflow. The AI part did the artwork; the calendar did the work.
Soft SaaS features die by neglect. Send Greetings in LiveKeeping PRO+ was exactly that: technically present, practically unused. The teams kept shipping heavy, but the light portal was dark.
Why it sat unused
- The feature existed for years but had no reason to be opened.
- Every greeting-launched list was static; no "when".
- Nothing surprised the user into trying the generator.
The AI reinvention
We integrated Google Gemini Flash (image), the 'Nano Banana' so users could build a festival card instantly — no design skills, no assets, no excuses.
But the model alone doesn't fix engagement. The timing inventory did:
- A geo-segmented festival calendar across five Indian regions
- 27 occasions — Diwali, Durga, JAYs, Bihu, others — each assigned the right messaging and template
- Triggers placed where users already worked: send-time reminders, invoice completions
The numbers
| Metric | Before | After | | --- | --- | --- | | Feature engagement | dormant | +168% | | Occasions surfaced | ~1 national | 27 geo-segmented | | Regions | 1 | 5 |
Users didn't adopt an AI generator. They adopted a card for the occasion before them — the AI was the paint, the timing was the purchase.
What I'd do differently
- Air the calendar earlier. The 5-region mapping should've shipped before we raised the model; geo-accuracy was the real feature.
- Test the greeting door. Our best surface was a banner inside a richer notification — I'd A/B it against "merchant made a bill → invite to wish a client" earlier.
The full build is in the Send Greetings + Nano Banana case study. It pairs well with the push notification architecture this automated: timing and geo are 90% of the lift.