H A Steel Structure

Step 1 (Enrichment): Web search returned no public profile for "H A Steel Structure" in Bangladesh. No website was provided and search_company could not find corroborating information. Therefore classification relies mainly on the submitted lead fields. Step 2 (main_industry): The company name indicates activity in steel structures (construction/fabrication) rather than agri-food. Submitted Industry Category = "IMPORTERS" may be mis-selected. Based on available evidence, assigned main_industry = "Others" (outside agri-food scope). Step 3 (business_size): No web presence, single local phone number, personal gmail contact, and a mid-level title (AGM ACCT.) suggest a small/local firm. Inferred business_size = "SB" (small business). Step 4 (lead_customer_type): The memo "I need a demo customs data" is a clear request for trade/customs data. Although the contact's position is accounting, the intent aligns with someone seeking market/trade data. Classified as "Supply Chain Analyst / Strategy / Planning / Data Analyst" (this category covers data/trade intelligence requests). Step 5 (lead_customer_needs): Memo explicitly requests a demo of customs data -> lead_customer_needs = "Data Intelligence". Step 6 (is_suspicious_lead): Contact email is a free Gmail address (badshaicmab@gmail.com) — acceptable for small businesses. No website was found to compare domains, but absence of a company website is not sufficient to mark as suspicious. Memo is a legitimate business request. No spam indicators. Therefore is_suspicious_lead = false. Step 7 (is_market_qualified): The request is for customs/trade data (market intelligence), which is a core Tridge offering. Although the company appears outside agri-food (steel structures), the ask is for customs data demo — Tridge can demonstrate its data product. Marked is_market_qualified = true. Step 8 (suggested_desk_slug): There is no seller/buyer intent and the lead is a data intelligence request. According to routing rules, "Supply Chain Analyst / ..." leads with needs other than Sourcing/Exporting do not map to a predefined desk, so suggested_desk_slug = "" (no automatic desk). Recommendation: route to Market Intelligence / Data Sales team or an SDR who handles data-product demos and to request company website, specific customs data scope (countries/HS codes/period), and confirm whether the data will be used for agri-food products. Recommended immediate follow-up questions for the SDR: - Please confirm company website or business registration to validate identity. - What customs data do you need (which countries, date range, HS codes or product categories)? - Is the focus specifically on agri-food products or other commodities? - Intended use (internal analysis, compliance, sourcing, sales lead generation)?