About Truegradient

As an AI-powered IBP platform, TrueGradient uses Deep Learning and AutoML to help teams plan faster and with greater confidence across supply chain and marketing - reducing manual effort, improving forecast accuracy, and helping teams get results faster without long setup cycles.

Our Purpose

Our purpose at TrueGradient is to democratize AI to transform Integrated Business Planning (IBP) that enables seamless, end-to-end planning across demand, inventory, replenishment, pricing, promotions, assortment, personalization, and capacity.

We aim to make advanced technology accessible to businesses of all sizes, enabling quick integration with existing ERPs, databases, and marketplaces, while seamlessly embedding Deep Learning and AutoML into every facet of IBP.

Value Delivered

+ 30%

Forecast Accuracy

- 30%

Working Capital

- 25%

Inventory Cost

+ 30%

Promo Efficiency

We have a growing base of satisfied customers across North America, Europe, Singapore, and India.

Meet the Team

Ankur Verma

CEO

Previously, ML Scientist at Walmart, Amazon, Dunzo

Founding team of Samya.ai (Now Asper.ai)

IIT BHU

Siddharth Shahi

CTO

Previously, Data Scientist at Ola, Dunzo

Founding team of Samya.ai (Now Asper.ai)

NIT Raipur

Namrata Gupta

COO

Previously, Product Consultant & Data Scientist at Walmart, Fidelity Investments, Razorpay

IIT Roorkee

Jasneet Kohli

CRO

Previously, VP of Go-To-Market at Antuit.ai, S&OP expert

ex-Mondelēz , ex-IBM

Thapar Patiala, KJ Somaiya Mumbai

Our Story

TrueGradient AI was founded with a mission to bridge the time-to-value gap in the IBP space. TrueGradient draws on the deep domain expertise of its founders, who bring experience from global giants like Amazon, Walmart, Mondelēz, and IBM. Our vision is to democratize AI by delivering the industry's first self-serve AI IBP platform.

TrueGradient's Self-Serve AI (AutoML) unique and patented approach offers low-code/no-code capabilities, simplified configuration, and powerful experimentation tools, fostering innovation, agility, and compressing implementation timelines from months to just weeks.

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