RK

Campaign Autopilot

Design, approve, and monitor multi-channel farmer campaigns with AI-run execution.

Campaign Autopilot — deep dive

Use cases in production for Kaveri Seeds

Named campaigns Kaveri runs every season, from pre-season demand forming to post-harvest feedback pulses.

Pre-season demand-forming campaign
Marketing + FO leadership
Preseason
Bag pre-orders used to depend on dealer memory of last year's demand.
How Polar handles it
  1. 1AI segments farmers by likely hybrid × district × sowing week
  2. 28-touch drip (WA voice notes + text) over 6 weeks pre-monsoon
  3. 3Dealer names captured live to feed liquidation plan
Pre-orders on Jadoo BG-II
1,24,000 bags
Bags pre-committed before season opens.
Product launch — Kaveri Neo (sunflower)
Product marketing
Launch
New hybrid launches typically take 2 seasons to hit meaningful reach.
How Polar handles it
  1. 1Micro-launch in 4 pilot districts with kissan meetings + FO scripts
  2. 2AI captures objections live and rewrites campaign copy weekly
  3. 3Scale to 22 districts once objection-loop stabilises
Districts by month 4
22
Time-to-scale halved.
vs 9 in prior launch
Event mobilisation for kissan meetings
FO managers
Events
Kissan meetings had 30% turnout because farmers forgot.
How Polar handles it
  1. 1Auto-invite farmers within 25km of venue in their language
  2. 2T-24h voice reminder + T-2h WhatsApp
  3. 3Post-event feedback pulse for stragglers
Confirm rate
82%
Attendance 58 → 82% avg.
Liquidation of slow-moving SKUs
Inventory + Sales
Liquidation
End-of-season carryover ties up ₹18 Cr in working capital.
How Polar handles it
  1. 1AI identifies farmers in the SKU's fit-window who haven't bought
  2. 2Time-boxed dealer push with tapered scheme
  3. 3Real-time stock-out signals stop the campaign automatically
Carryover reduction
42%
Carryover down 42%.
Crop-calendar advisory drip
Every enrolled farmer
Advisory
Advisory was one-size-fits-all and mistimed for local weather.
How Polar handles it
  1. 1Weekly nudge indexed to sowing date × district weather × pest pressure
  2. 2Voice-first for low-literacy segments
  3. 3Two-way — farmer replies feed the intelligence corpus
Weekly reach
3,20,000
84% of enrolled farmers read/listen to ≥ 6 nudges.
Feedback pulse post-harvest
R&D + product
Feedback
Real farm-level performance data lived in FO notebooks.
How Polar handles it
  1. 1AI runs a 3-question voice pulse in local language
  2. 2Data structured into yield / disease / satisfaction
  3. 3Feeds R&D breeder briefs the same week
Responses / hybrid
4,800 avg
Yield feedback loop from months to days.