Energy and Power Procurement Bid Analyzer

Problem

Energy and power procurement data is spread across announcements, making it slow to answer questions such as who is buying, which suppliers win, what models appear, and how a company competes. This skill targets teams that use power bidding data for competitive analysis and opportunity tracking, turning search, company profiling, and market aggregation into one interface-driven workflow.

How It Works

It wraps tools such as search_bids, get_company_profile, find_competitors, get_top_suppliers, and get_price_trends around three task groups:
- Bid search: use keywords, region, amount, time, and match_modes to target fields; for example, caller finds procurers, winner finds winning suppliers, and tender finds bidders.
- Company analysis: resolve company names to related entities, then inspect business registration, core keywords, customers, suppliers, and competitors.
- Market statistics: aggregate top purchasers, top winning suppliers, brands and models, and historical unit prices to judge procurement concentration and price movement.

The key step is translating business questions into query fields, then using keywords, keyword_groups, and exclude_keywords to express inclusion, AND logic, and exclusion. Results can also be filtered by bid_process stages such as procurement intent, tender, award, and contract.

Boundaries

The skill depends on ZLBX_API_KEY or local configuration and is best for objective bidding-data analysis. Policy interpretation, company strategy, and industrial-chain research should be supplemented with public web sources. If results are thin, adjust match_modes, time windows, or keyword grouping instead of treating search matches as final business conclusions.