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BA

BigFig.AI

BigFig.AI delivers agentic AI solutions that turn e‑commerce and brand data into actionable intelligence. By linking e‑commerce platforms, analytics tools, and communication channels, the platform creates custom category‑manager agents that surface insights in personalized dashboards. The service leverages Google Cloud and AWS infrastructure to provide scalable, real‑time recommendations for merchants looking to optimize product assortments, pricing, and marketing strategies.

Bengaluru, IndiaFounded 202422K+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Retailers and brands often struggle with fragmented e‑commerce data across platforms, analytics tools, and communication channels, making it difficult to extract timely, actionable insights for operational decisions.

Solution

BigFig.AI offers an agentic AI platform that connects e‑commerce platforms, analytics feeds, and messaging tools to create custom “category manager” agents. These agents continuously analyze linked data, surface hidden patterns, and generate real‑time recommendations. Insights are delivered through personalized dashboards that can trigger automated actions within the BigFig.AI ecosystem. The solution runs on scalable cloud infrastructure provided by Google for Startups and AWS Activate, ensuring reliability and performance for enterprises of any size.

Target Audience

Primary customers are online retailers, brand managers, and e‑commerce operations teams that need centralized intelligence to streamline decision‑making and boost sales performance.

Features

  • Rapid integration with major e‑commerce platforms, analytics services, and communication channels via pre‑built connectors
  • Customizable AI agents that act as virtual category managers, continuously monitoring data and providing context‑aware recommendations
  • Unified, real‑time dashboards that visualize cross‑platform metrics, trends, and actionable insights
  • Automated execution of recommended actions using built‑in tools to optimize inventory, pricing, and marketing workflows
  • Cloud‑native architecture leveraging Google Cloud and AWS for elastic scaling and high availability
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