IndiaLogistics and transport2022 – ongoing

Mahindra Logistics

AI visual inspection for package counting and damage checks in a warehouse

Mahindra Logistics reported over 99% counting accuracy in a warehouse pilot of AI visual inspection

In progressCompany's own claim

Problem

Staff counted inbound and outbound cases and boxes by hand and checked cartons for damage. The work needed supervisors and was prone to error.

Approach

Mahindra Logistics worked with Chennai start-up Jidoka Technologies on a camera-based system that counts cases, parcels and boxes, reads barcodes and QR codes, and spots damage such as tears and leaks. Counts are reconciled against warehouse and ERP records. The system was piloted at a distribution warehouse in South India. Rollout to all warehouses was the stated goal.

Results

over 99%accuracy in package counting and inspection at the pilot warehouse, as reported in the articleCompany's own claim[1]

50%increase in supervisor productivity at the pilot warehouse, as reported in the articleCompany's own claim[1]

up to 20%labour cost savings at the pilot warehouse, as reported in the articleCompany's own claim[1]

Takeaway

The results came from a single-site pilot and were reported in the company's own words. A wider rollout was still ahead when the article ran.

Sources

Mahindra Logistics looks to achieve >99% accuracy in package counting and inspection across all its warehouses through AI computer vision, signs technology alliance with Jidoka Technologies
CXOToday27 Dec 2022News article

Source summaries

[1]CXOToday27 Dec 2022

CXOToday describes the Jidoka Technologies vision system that counts packages and checks cartons for damage at a South India warehouse. It reports over 99% accuracy, a 50% rise in supervisor productivity and labour savings of up to 20%. Mahindra Logistics aimed to extend it to all warehouses.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026