Naukr AI

Naukr AI is a vertical AI platform that deploys autonomous agents purpose-built for retail and consumer packaged goods (CPG) analytics. The product organizes its capabilities into four "Agent Hubs": Supply Chain (Demand Signals, Store Signals, Inventory Signals), Category Management (Assortment Signals, Shelf Signals, Pricing Signals, Promo Signals, Consumer Signals), Media (Agentic MMM, Omni-Channel Measurement, Retail Media Networks, Walmart Connect), and Reporting/Briefing agents (NextGen BI, chat-based insights, and a custom agent builder). Each agent wraps statistical and machine learning techniques — forecasting, clustering, marketing mix modeling, test-and-control lift measurement, and anomaly detection — behind a conversational interface so users can query data in natural language. The platform positions itself as an alternative to traditional analytics stacks that require data scientists and static dashboards. Users ask questions such as projected revenue, churn risk segments, or optimal budget allocation, and the agents return quantitative outputs plus suggested business actions. The vendor claims 10x faster time-to-insight, roughly 3x lower cost, and up to 60% lower cost than legacy approaches, with insights delivered in minutes rather than weeks. Naukr AI is marketed as enterprise-grade, citing SOC 2 certification, SSO integration, HIPAA compliance, dedicated support with custom SLAs, white-glove onboarding, and data-security controls. The Data Center section lists retail data integrations for POS, inventory and supply chain data, plus media connectors covering retail media networks, programmatic, social and ad-server sources, with a live two-way sync capability. Detailed public technical specifications — programming language, licensing, and release history — are not published on the homepage, so those attributes are omitted here. Pricing is likewise not disclosed publicly; the site directs visitors to a contact/get-started flow.

Category: AI Agent
Pricing: Unknown

Problem solved

Retail and CPG teams typically depend on scarce data scientists to build forecasting, pricing, promotion, assortment, and marketing-mix models, producing static dashboards and insights that take weeks and cost six figures annually. Naukr AI packages those statistical and machine learning workflows as autonomous, chat-driven agents, letting business and analytics users get measurement, forecasting, and optimization answers in minutes without scaling headcount.

Use cases

Forecast demand, revenue, and growth trends for retail and CPG planning
Optimize multi-echelon inventory and detect supply chain anomalies
Measure incremental sales lift and ROI across TV, CTV, social, and digital media
Run agentic marketing mix modeling (MMM) and reallocate budget across channels
Measure retail media network performance, including Walmart Connect campaigns
Optimize pricing, promotions, assortment, and shelf placement by store and shopper need
Segment customers and predict churn for retention campaigns
Ask natural-language questions of retail data through conversational BI and liveboards

Audience

Enterprise
Business Users
Data Scientists
Product Managers

Pros

Purpose-built vertical agents for retail and CPG rather than generic analytics
Conversational interface lowers the need for deep data science skills
Covers a broad scope: supply chain, category management, media measurement, and reporting
Enterprise posture with SOC 2, SSO, HIPAA claims, and dedicated support
Connectors for POS, inventory, supply chain, and media/ad-server data with two-way sync

Cons

No public pricing information; requires contacting sales
No published technical documentation, language, or license details
Vendor performance claims (10x faster, 3x cheaper, 60% lower cost) are not independently verifiable
Effectiveness depends on integrating customer POS, supply chain, and media data sources
Closed SaaS platform with no self-hosted or open-source option described

Official website: https://naukr.ai/

Canonical LambdaBase page: https://www.lambdabase.com/tools/naukr-ai

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Naukr AI

Unknown

• Updated Sep 22, 2026, 09:12 PM

Naukr AI is a vertical AI platform that deploys autonomous agents purpose-built for retail and consumer packaged goods (CPG) analytics.

Use Cases ▼

Forecast demand, revenue, and growth trends for retail and CPG planning

Optimize multi-echelon inventory and detect supply chain anomalies

Measure incremental sales lift and ROI across TV, CTV, social, and digital media

Run agentic marketing mix modeling (MMM) and reallocate budget across channels

Measure retail media network performance, including Walmart Connect campaigns

Optimize pricing, promotions, assortment, and shelf placement by store and shopper need

Segment customers and predict churn for retention campaigns

Ask natural-language questions of retail data through conversational BI and liveboards

What Problem It Solves ▼

Key Features ▼

✓

Purpose-built vertical agents for retail and CPG rather than generic analytics

✓

Conversational interface lowers the need for deep data science skills

✓

Covers a broad scope: supply chain, category management, media measurement, and reporting

✓

Enterprise posture with SOC 2, SSO, HIPAA claims, and dedicated support

✓

Connectors for POS, inventory, supply chain, and media/ad-server data with two-way sync

Overview

Full Description ▼

The platform positions itself as an alternative to traditional analytics stacks that require data scientists and static dashboards. Users ask questions such as projected revenue, churn risk segments, or optimal budget allocation, and the agents return quantitative outputs plus suggested business actions. The vendor claims 10x faster time-to-insight, roughly 3x lower cost, and up to 60% lower cost than legacy approaches, with insights delivered in minutes rather than weeks.

Naukr AI is marketed as enterprise-grade, citing SOC 2 certification, SSO integration, HIPAA compliance, dedicated support with custom SLAs, white-glove onboarding, and data-security controls. The Data Center section lists retail data integrations for POS, inventory and supply chain data, plus media connectors covering retail media networks, programmatic, social and ad-server sources, with a live two-way sync capability.

Detailed public technical specifications — programming language, licensing, and release history — are not published on the homepage, so those attributes are omitted here. Pricing is likewise not disclosed publicly; the site directs visitors to a contact/get-started flow.