Case study · Trade & Export
Product Market Identification
An organisation promoting India's SME sector needed to make export market selection accessible. We built a decision-support application that turned raw trade data into clear product and market guidance.
- Client
- An Indian SME development organisation
- Duration
- 6 months
- Disclosure
- Anonymised
Headline metrics
- Days to minutes
- Market analysis
- 6 months
- Delivery
Additional context
Helping prospective exporters answer a hard question, what to sell and where, without a data science team.
01 / Challenge
The problem in front of us.
The key factors in target market selection, segment size and growth and structural attractiveness, were hard to understand and locked inside raw data. Identifying exportable products and markets meant manual work with HS codes, trend analysis, and comparative advantage assessments that took days or months.
02 / Approach
How we set the work up.
We deployed a technical architect and a senior .NET developer for six months to build a decision-support application from detailed technical specifications, automating the analysis that exporters previously did by hand.
03 / Solution
What we built.
The web-based application let users identify exportable agricultural products and choose suitable markets, automating trend analysis, competitiveness assessment, and market fluctuation evaluation through interactive charts and XML-based data management.
04 / Outcome
What it has held up to.
Exportable products and markets could be selected far more easily, competitiveness rose for small and medium firms, and external trade from the state grew and became more effective, with lower costs through better trade facilitation and training.
Stack
What it runs on.
- .NET Framework 3.0
- VB.NET
- WinForms
- XML
- AJAX
- Chart Controls
- Visual Studio 2005
Tell us what you're trying to ship.
We'll start with a two-week diagnostic. No slides, no promises we can't keep.