AI trained on Indian pin codes. Not Silicon Valley demos.
Courier allocation, RTO prediction, address validation, lane optimization. Models tuned on real Indian shipment data — by category, by lane, by pin code. The result: fewer failed deliveries, less RTO, lower cost per shipment.
Where the AI moves the numbers.
Models that pay for themselves on cost saved, not features shipped.
Courier allocation per pin code
Picks the best courier for each shipment based on historical success rate, cost, and transit time — at that exact pin code, for that exact SKU class.
RTO risk scoring
Predicts which COD orders are likely to bounce, before label generation. High-risk orders trigger pre-shipment verification or COD conversion.
Address validation & correction
Normalizes messy Indian addresses (Hindi/English mixed, missing landmarks, vague pin codes) into deliverable format. Catches errors before they cost you.
Demand forecasting
SKU-level demand predictions by zone and week. Used by the network layer to place inventory in the right warehouse and the right dark store.
Route & lane optimization
Optimizes pickup runs, hub-to-hub line haul, and rider trip plans against vehicle capacity, traffic, and SLA windows.
Smart NDR retry timing
Picks the best window to retry a failed delivery based on customer behavior signals from past attempts. Lifts second-attempt success 18–25%.
Trained where it matters. Refined where it counts.
Where the AI earns its monthly bill.
D2C with 60%+ COD orders
RTO prediction + smart NDR retry combine to lift delivered-COD revenue by 22-35%. Less working capital stuck in returned goods.
Brands scaling beyond metros
Address validation alone cuts pre-shipment failures by 40-60% in tier 2/3 cities where address quality is the weakest link.
Optimizing across 5+ courier partners
Allocation model cuts blended courier cost 8-15% in 90 days, just by picking the right partner per pin code instead of round-robin.
Multi-warehouse stock placement
Demand forecasting cuts intra-warehouse stock transfers 30%+ and lifts SLA hit rate by placing inventory where orders actually come from.
AI you can audit. Not magic.
Every decision is auditable.
We don't give you 'the AI said so'. Every model decision logs its reasoning, the features it used, and confidence intervals. You can override and we learn from it.
Trained on Indian data, period.
Pin codes, address formats, RTO patterns, category-level behaviour — all Indian. We don't pretend a US-trained model works here, because we've measured what happens when one does.
Measured on outcomes, not benchmarks.
Models live or die based on whether they cut your cost per shipment and lift your SLA hit rate. Not based on academic accuracy scores. We report business metrics, monthly.
Common questions.
Still curious? Our team replies in under 4 working hours.
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