PNN DigitalPNN Digital
    Facebook Twitter Instagram
    Saturday, February 14
    Trending
    • Love Aaj Kal: Pinky Promise Analyses 10,000 Conversations on Women and Pleasure
    • VMS TMT Reports Robust Q3 FY26 with 43pc EBITDA Growth and 278pc PAT Increase QoQ
    • Clean-tech Start-up Solar Capital launches digital platform enabling rooftop-less consumers to participate in India’s solar growth
    • DICCI to Host International Conclave on AI for Inclusion and the Future of Work on 18th February 2026
    • Poulomi Pavini Shukla Redefines What Legal Reform Looks Like in Modern India
    • Archoo’s Rajasthan Dealer Meet Gets an Overwhelming Response
    • India Water Foundation Felicitated for Integrated Transversality Leadership
    • LaundryMate Launches ‘LaundryMate Sprint’, India’s First 4-Hour Laundry and Dry Cleaning Delivery Service
    Submit News
    PNN DigitalPNN Digital
    pnn
    • Home
    • Editor’s Pick
    • Business
    • Entertainment
    • National
    • Lifestyle
    • Technology
    • More
      • Sports
      • Health
      • Finance
      • Education
    PNN DigitalPNN Digital
    Home»Business

    Burning Problems of Exporters and Importers (and How to Solve Them)

    PNN NewsdeskPNN Newsdesk Business 4 Mins Read
    Tackling the Biggest Export-Import Challenges
    Share
    Facebook Twitter LinkedIn Pinterest Email

    New Delhi [India], May 27: Exporters and importers are increasingly relying on digital tools and data-driven strategies. Instead of guessing, they use large import-export data sets and analytics to guide decisions. Platforms aggregate trade data from dozens of markets, revealing new opportunities and risks. AI and machine learning scan shipment records to forecast demand or flag risky partners. Actionable trade intelligence now replaces outdated guesswork. Even in India, businesses now consult online portals for import-export data in India to make data-driven decisions.

    Key Challenges

    • Trust and Credibility: Export and import companies often struggle to verify overseas partners. Many leads on trade portals remain unvetted, so firms cannot be sure if a buyer or supplier is reliable.

    • Payment Delays & Defaults: In international trade, payment issues are common. Exporters may have to wait months for funds or face a buyer who simply doesn’t pay; recovering money can be slow and expensive.

    • Poor Market Intelligence: Many businesses lack up-to-date market data. Without good export data or import data (for example, timely India exports and imports data), exporters may misjudge demand or miss trends.

    • Logistical Bottlenecks: Shipping delays and port congestion still plague global trade. A delayed container or customs holdup can disrupt schedules, and without real-time tracking, companies learn about delays too late.

    • Market Volatility: Fluctuating currencies, political crises or an unreliable buyer can derail a deal. Import-export firms need better data to anticipate and hedge against these risks.

    How Data Analytics Offers Solutions

    Advanced analytics unlock value from trade records. Historical data analysis can identify demand patterns (for example, showing seasonal spikes in exports from India). AI-driven platforms then turn raw import-export data into insights: they can surface credible buyers and spot anomalies like late payments. These platforms act as a virtual export-import databank. letting users filter by product or market. One industry source notes that such tools provide “actionable insights from a wide global trade database”. Armed with these insights, firms can forecast demand more accurately, choose partners with confidence, and reduce guesswork.

    Role of AI, Visualisation & Smart Platforms

    The Dollar Business’s Ex-Im platform exemplifies these advances. It is an AI-powered “superengine” that processes billions of data points and delivers actionable intelligence to exporters and importers. Its smart dashboard visualises key trade metrics (for example, top buyer countries or shipment volumes) in easy charts. Visualisation makes these insights accessible: as a U.S. trade agency notes, it helps users “absorb large amounts of data quickly” and “identify relationships and patterns faster”. In this way, both small businesses and larger firms can see market trends at a glance and make faster decisions.

    Industry Examples

    Blockchain and data-sharing initiatives show these ideas in action. For example, IBM’s Food Trust is used by companies like Carrefour and Nestlé to track food products end-to-end, so consumers can scan a QR code and verify origin. This transparency boosts reliability in complex supply chains.

    The Road Ahead

    Intelligent trade tools will only get more powerful. We expect AI to automate more tasks (like compliance checks or market analysis) and use new data sources (such as IoT sensors or economic reports). Open data initiatives could even create comprehensive international trade databases — a true export-import databank anyone can query. By making rich trade data and predictive analytics accessible to all, these innovations will help improve exporters’ and importers’ success rates worldwide.

    Company Info

    The Dollar Business is a multinational trade analytics company powering this transformation. Its EXIMAPS engine covers millions of companies worldwide (about 21 million exporters and importers from 181+ countries), effectively acting as a global databank of trade intelligence. With AI-driven analytics and a user-friendly portal, The Dollar Business helps manufacturers, traders and logistics firms find active markets and reliable partners. It provides insights on global trade trends (including detailed export data from India) to guide businesses through the complexities of the export-import business.

    For more information, please visit the website at https://in.thedollarbusiness.com/

    If you object to the content of this press release, please notify us at pr.error.rectification@gmail.com. We will respond and rectify the situation within 24 hours.

    import-export data The Dollar Business trade data
    PNN Newsdesk

    Keep Reading

    Love Aaj Kal: Pinky Promise Analyses 10,000 Conversations on Women and Pleasure

    VMS TMT Reports Robust Q3 FY26 with 43pc EBITDA Growth and 278pc PAT Increase QoQ

    Clean-tech Start-up Solar Capital launches digital platform enabling rooftop-less consumers to participate in India’s solar growth

    DICCI to Host International Conclave on AI for Inclusion and the Future of Work on 18th February 2026

    Poulomi Pavini Shukla Redefines What Legal Reform Looks Like in Modern India

    Archoo’s Rajasthan Dealer Meet Gets an Overwhelming Response

    pnn
    Recent Posts
    • Love Aaj Kal: Pinky Promise Analyses 10,000 Conversations on Women and Pleasure
    • VMS TMT Reports Robust Q3 FY26 with 43pc EBITDA Growth and 278pc PAT Increase QoQ
    • Clean-tech Start-up Solar Capital launches digital platform enabling rooftop-less consumers to participate in India’s solar growth
    • DICCI to Host International Conclave on AI for Inclusion and the Future of Work on 18th February 2026
    • Poulomi Pavini Shukla Redefines What Legal Reform Looks Like in Modern India

    Love Aaj Kal: Pinky Promise Analyses 10,000 Conversations on Women and Pleasure

    13/02/2026

    VMS TMT Reports Robust Q3 FY26 with 43pc EBITDA Growth and 278pc PAT Increase QoQ

    13/02/2026

    Clean-tech Start-up Solar Capital launches digital platform enabling rooftop-less consumers to participate in India’s solar growth

    13/02/2026

    DICCI to Host International Conclave on AI for Inclusion and the Future of Work on 18th February 2026

    13/02/2026

    Poulomi Pavini Shukla Redefines What Legal Reform Looks Like in Modern India

    13/02/2026

    Archoo’s Rajasthan Dealer Meet Gets an Overwhelming Response

    13/02/2026
    Facebook Instagram Twitter
    • Legal Disclaimer
    • Privacy Policy
    • Contact Us
    • About Us
    © 2026 PNN Digital. Designed by Primex Media Services.

    Type above and press Enter to search. Press Esc to cancel.