Coolbid — AI Trade Intelligence
An AI-assisted B2B market research and trade intelligence platform that helps exporters research target markets, identify relevant business prospects and turn public import–export data into business-development context.
126 LABS / HUMAN-DIRECTED AI CREATIVE PRODUCTIONFrom brief
to a controlled
visual system.
CHALLENGE+
International trade teams need to move from fragmented shipment records and market data to a usable view of target markets, product categories and potential buyers. The challenge was to make a large trade-data workflow feel clear, searchable and decision-ready across desktop, tablet and mobile.
CREATIVE RESPONSE+
126 LABS shaped Coolbid as a responsive AI technology product with buyer research, market discovery and trade-data context organized around practical commercial questions. The interface separates research, prospect discovery and data signals so teams can move from a market hypothesis to relevant business prospects without losing the underlying trade context.
OUTPUT+
Product strategy · UX / UI system · Responsive web app · Trade-data information architecture · Buyer research workflow · AI-assisted market discovery
One system.
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Strategy, direction
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Explore Coolbid, an AI trade intelligence and import–export database case study by 126 LABS for target-market research, buyer discovery and B2B trade-data workflows.
01Product Objective
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Coolbid is designed to help exporters and international business teams research target markets, identify relevant companies and add public trade context to business-development decisions.
The product turns a complex import–export research workflow into a clear sequence: define the market, review trade signals, identify relevant prospects and move into a qualified business conversation.
02Trade Data Architecture
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The information architecture is organized around product categories, countries and markets, company discovery and public trade records. This keeps the data model close to the questions commercial teams actually ask.
Rather than presenting shipment records as an isolated database, the interface uses them as context around market attractiveness and prospect relevance.
03AI-Assisted Research Workflow
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AI is positioned as an analysis and navigation layer over structured trade data, helping teams narrow research, surface likely-fit companies and summarize useful commercial context.
The product design keeps source data and business signals visible so AI assistance supports the workflow without hiding the evidence behind the recommendation.
04Responsive Product System
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The supplied interface was designed as one responsive product system across laptop, tablet and mobile. Core research actions, category navigation and calls to action remain accessible at each breakpoint.
This matters for international sales and sourcing teams who often move between office research, meetings and mobile follow-up during the same buyer-development workflow.
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