Kapiva lowers RTOs, has 40% less complaints, 94% EDD accuracy
With ClickPost allocation, AI NDR agents to deliver smartly across Metros, Tier 2 and 3 cities
Kapiva's key challenges with logistics operations
As the brand grew in popularity, its supply chain operations had to keep up.
- Static 3–5 day delivery promises. Every one- day delivery miss, increased RTOs by 20%
- Allocation across just two or three couriers, or through an aggregator
- ~22% orders enter NDR journey. 4-hour gap before an agent reached the customer
- Scaling NDR meant a large human agent team which could be underused between spikes
- Last mile courier performance could not be tracked, especially in Tier 3 pincodes
With ClickPost: How Kapiva's operations changed as they scaled
With customer experience as its north star metric, Kapiva trusts ClickPost to maintain operational excellence, meet delivery promises and drive repeat purchases across all pincodes - Metros, Tier 2, 3 and beyond.
- AI-EDD at 94% accuracy with same-day capability shown pre-purchase. Higher EDD accuracy, lower RTOs
- 10 couriers unified. 98% allocation accuracy, for 3 lakh orders month.
- AI voice agent Parth calls the customer the moment a delivery fails
- No new hires for NDRs. Parth identifies NDR reason (address, availability, or contact) and passes it to the courier via API
- Apex detects and acts on last-mile exceptions with reports auto-sent to couriers with smart alerts
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Get the complete Snitch case study
The 8-page deep dive, architecture, rollout, and every number behind the 40% RTO drop.
- Full results breakdown with verified metrics
- The exact ClickPost configuration Snitch runs
- Implementation timeline & integration notes
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