Celebal Technologies

The Next Now of Retail

Operationalize Agentic AI & Unified Commerce at Enterprise Scale

calendar

January 11–13, 2026

location

Jacob K. Javits Convention Center, NYC

Four Pillars of Retail AI

From demand sensing to autonomous fulfillment, here's what production-ready retail AI actually looks like, and what it delivers.

AI-POWERED

Intelligent Demand Sensing

Autonomous AI agents that compress demand planning cycles from days to hours, continuously learning from transactions, inventory signals, and market conditions.

40% faster demand response
AUTONOMOUS

Self-Driving Retail Operations

AI workflows that don't just recommend, they execute. Pricing, allocation, and replenishment decisions fire automatically with human governance for exceptions.

60% reduction in manual interventions
REAL-TIME

Unified Commerce Intelligence

Break down silos between stores, digital, and supply chain. Real-time visibility across channels enables coordinated execution and consistent customer experience.

Single source of truth across channels
PREDICTIVE

Resilient Supply Networks

Fulfillment networks that anticipate disruption before it hits. Predictive exception handling and dynamic routing keep promises to customers, profitably.

35% improvement in on-time delivery

Solutions Portfolio

Case StudyIndian Multinational Conglomerate

Intelligent Retail Operations at Scale

How a leading grocery retailer transformed reactive operations into a continuously learning AI system, embedding autonomous decision-making directly into daily workflows.

23%
Reduction in stockouts
$4.2M
Recovered revenue (Year 1)
6 wks
Time to production

Siloed data across 800+ stores made it impossible to understand what was happening, let alone why. Teams spent more time reconciling reports than making decisions.

Real-time signals across transactions, pricing, inventory, and demand were unified into a single intelligence layer. Causal analytics enabled teams to understand not just what changed, but where and why, moving beyond static reporting.

Agent Garage-powered decision intelligence now continuously monitors retail performance, surfaces emerging risks and opportunities, and recommends actions in near real time, embedding AI-driven decision-making directly into daily operations.

Connect at NRF

Sachin Pai

SVP Pre-Sales

Udayan Saxena

Director, Business Development

Shiva Biswas

Director, Pre-sales

Suchit Sharma

Senior Manager

Ready to Scale Your AI Operations?

Meet us at NRF 2026 to discuss how we can help you move from experimentation to enterprise execution