University of Manitoba

Step 1 - Enrichment: Web search shows University of Manitoba (UM) is a large public research university in Winnipeg with a Faculty of Agricultural and Food Sciences and multiple agri‑food research centres (Richardson Centre, CCARM). UM is a recognized agri‑food research/academic institution that supports the provincial food & beverage sector. Sources: UM profile and Manitoba gov sector reports. Step 2 - main_industry: Classified as 'Others' because UM is an academic institution (not a food manufacturer, trader, distributor, or government trade agency). The available main_industry enums do not include an 'Academy' value, so 'Others' is the best fit. Step 3 - business_size: 'LME' (large‑medium enterprise). University of Manitoba is a major public university with thousands of students/staff, significant research funding and provincial economic impact, consistent with LME (>100M USD revenue or >350 employees). Step 4 - lead_customer_type: 'Supply Chain Analyst / Strategy / Planning / Data Analyst'. Contact is an MBA student (position stated) using a university email (singhi18@myumanitoba.ca). The memo says the data is needed for academic purposes — this fits an academic research / data analysis role rather than a buyer or seller. Step 5 - lead_customer_needs: 'Data Intelligence'. The memo explicitly: 'I need this data for academic purposes' — indicates a request for market/data resources (price/supply/trade data), matching Tridge's Data Intelligence product. Step 6 - is_suspicious_lead: false. Email uses an institutional student domain (myumanitoba.ca) consistent with University of Manitoba; phone country code/area code (204) matches Manitoba. No RFQ/offer or spam indicators. Although UM is a large well‑known institution, the inquiry is an academic data request from a student (normal channel) so not flagged as suspicious. Step 7 - is_market_qualified: true. Request is for data/intelligence — within Tridge's product scope (market data, price/supply/trade analytics). An academic user from a university is a valid user for data products; therefore this is a qualified lead. Step 8 - suggested_desk_slug: 'academy'. University/academic institution triggers the Academy desk per routing rules (academic institution + academic intent). Additional notes: Contact appears legitimate (student email domain, phone area code). Recommended next action: route to Academy desk / Data Intelligence team to provide academic access details, dataset scope, pricing/academic discounts, and citation/licensing terms.