---
title: "Jitendra Putcha, COO of Tredence – Interview series — Marsanne Studio AI watch"
description: "Tredence's COO explains why AI pilots fail and details quantified gains achieved by clients in retail and manufacturing."
url: "https://marsanne.studio/en/ai-watch/jitendra-putcha-coo-of-tredence-interview-2a1735/"
lang: "en"
---

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Interview · 30 September 2026

# Jitendra Putcha, COO of Tredence – Interview series

Original title, in French: “Jitendra Putcha, COO de Tredence – Série d’interviews”

**Publication**

Unite.AI (United States)

**Author**

Unsigned

**Published on**

30 September 2026 · read in the page metadata · updated on 30 September 2026

## Summary

In this interview, Jitendra Putcha, chief operating officer of Tredence, a global data science and AI solutions company, describes what he calls the "last mile" problem: the gap between AI generating insights and turning them into measurable business results. He explains why, in his view, most AI pilot projects fail through a lack of reliable data, governance and clear business ownership, rather than insufficient technology. He outlines a three-tier architecture (data, industry intelligence, governed agentic execution) and cites results Tredence has achieved for its clients: a forecasting programme for a supermarket generating nearly $200 million in value, a manufacturing supply chain platform saving $10 million, a 70% reduction in analyst effort in retail, and a $100 million reduction in losses. Tredence has more than 4,200 employees.

Summary based on the full text of the article.

[Read the article on Unite.AI →](https://www.unite.ai/fr/jitendra-putcha-coo-of-tredence-interview-series/)

## Figures cited

-   200 USD million
    
    Value generated by a forecasting programme for a supermarket deployed by Tredence
    
    Tredence supermarket client
    
    > « Un programme de prévision pour supermarché a généré près de 200 millions de dollars de valeur et a porté les taux de correspondance de réapprovisionnement au‑delà de 90 pour cent. »
    
-   90 %
    
    Replenishment match rate achieved through the supermarket forecasting programme
    
    Tredence supermarket client
    
    > « Un programme de prévision pour supermarché a généré près de 200 millions de dollars de valeur et a porté les taux de correspondance de réapprovisionnement au‑delà de 90 pour cent. »
    
-   10 USD million
    
    Savings achieved by a manufacturing supply chain platform
    
    Tredence manufacturing client, first year
    
    > « Une plateforme de chaîne d’approvisionnement manufacturière a permis d’économiser 10 millions de dollars la première année. »
    
-   70 %
    
    Reduction in analyst effort through retail workflow modernisation
    
    Tredence retail client
    
    > « Une modernisation des flux de travail dans le commerce de détail a réduit l’effort des analystes de 70 pour cent, tandis qu’un autre programme a permis de réduire les pertes de 100 millions de dollars. »
    
-   100 USD million
    
    Reduction in losses achieved by another programme deployed by Tredence
    
    Tredence client
    
    > « Une modernisation des flux de travail dans le commerce de détail a réduit l’effort des analystes de 70 pour cent, tandis qu’un autre programme a permis de réduire les pertes de 100 millions de dollars. »
    
-   4,200 employees
    
    Number of Tredence employees
    
    Tredence, global headcount
    
    > « Tredence indique compter plus de 4 200 employés et travailler avec des sociétés dans le commerce de détail, les produits de grande consommation, la technologie, les télécommunications, la santé, le voyage, le secteur industriel et d’autres secteurs. »
    

## Classification

**Country**

Worldwide scope

**Company size**

All sizes

**Industries**

Retail and distribution, e-commerce · Industry and manufacturing · Software vendors, IT services companies, telecoms · Healthcare, pharmaceuticals, social care · Tourism, hospitality, catering

**Companies**

Tredence (supplier)

**Keywords**

agentic ai, ai governance, enterprise ai adoption, ai last mile, industry intelligence, retail and supply chain

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Unite.AI. Entry translated from French by Claude Sonnet 5.5.