Retail Workspace Documentation

Learn how to use your Retail Workspace to track competitor prices, analyze market trends, and make data-driven pricing decisions with confidence.

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Start with our Getting Started guide to learn the platform basics and complete your initial setup.

Learn the basics of Nesika AI Platform and complete your initial setup

Manage tracked products, add new items, and fine-tune competitor matches

Review AI-suggested competitor matches, validate classifications, and ensure pricing accuracy

Improve AI matching for home brand, non-branded, and lesser-known brand products using classification tags

View competitor pricing, analyze trends, and understand your market position

AI-powered pricing alerts that detect competitor undercuts, price opportunities, and promotions

Group products into separate scanning schedules — run daily, weekly, or custom scans for different product sets

Customise which competitors are scanned per product for faster, more focused price intelligence

Custom alert rules for price changes, availability shifts, and competitor detection with in-app notifications

Market benchmarks, discounting frequency, rolling averages, and timeline overlays

Configure scan schedules, manage team members, and customize your workspace

Connect data sources, manage product mappings, and monitor sync logs

Use private v1 endpoints to access products, scans, and insights for your workspace

Create and protect workspace-scoped credentials for Retail API and MCP access

Connect the six private Retail Workspace tools to Claude, ChatGPT, Cursor, and other MCP clients

Export pricing data in CSV, Excel, or PDF with customisable columns, filters, and reusable templates

Rapidly add products using URLs, CSV uploads, or bulk import methods

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