OTIF Meaning
A composite logistics KPI measuring the percentage of orders delivered both on time and with the complete quantity requested, the gold standard for supply chain service levels.
Full definition
OTIF (On Time In Full) is the most demanding supply chain service metric because it combines two conditions: the delivery must arrive within the agreed time window and contain 100% of the ordered quantity. If even one SKU is short or the delivery arrives one hour late, the entire order is scored as a miss. OTIF is therefore always lower than either on-time % or fill rate measured independently.
In Indian FMCG distribution, OTIF expectations vary sharply by channel. Modern Trade chains like DMart and Reliance Retail contractually mandate 95%+ OTIF and impose financial penalties for non-compliance, often Rs 500-2,000 per failed delivery. General Trade is more forgiving in practice, but the impact of poor OTIF is just as real: a kirana store that doesn't receive its curd by 7 AM simply gives that shelf space to a competitor brand by 7:30 AM.
For dairy distribution, OTIF is existential. A 48-hour shelf-life product has zero tolerance for delivery delays. If the van misses the delivery window, the retailer has no stock for the morning rush, and the brand loses not just that day's sale but potentially the outlet relationship. This is why dairy companies invest heavily in route optimization, real-time distribution tracking, and dispatch automation to protect OTIF scores.
A robust analytics platform tracks OTIF at the route, vehicle, distributor, and SKU level, decomposing failures into "late but full," "on-time but short," and "late and short" to pinpoint root causes. The most common causes in Indian operations are vehicle breakdowns, warehouse picking errors, and stock-outs at the dispatch point.
Real-world example
A dairy distributor in Hyderabad targets 93% OTIF across 180 daily deliveries. Last week, 12 deliveries were late (van stuck in traffic) and 5 were short (curd stockout at depot), giving an OTIF of (180-17)/180 = 90.6%, triggering a root-cause review.
Where it applies
Applicable industries
This term is relevant across the following SpireStock-supported industries.
How SpireStock handles it
Related SpireStock features
The concepts described above are implemented end-to-end in these product modules.
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