Market Research from affaan-m’s ECC project. Use it for market sizing, competitive analysis, investor due diligence, technology scans, and other business research. It gathers sourced evidence, flags stale data, includes risks and counterarguments, separates facts from inference, and turns findings into clear, decision-oriented recommendations.
Forces AI agents to anchor every interview answer in verified company facts, mark all personal examples as [USER_INPUT_REQUIRED] until you provide them, and label every unsourced claim — so nothing fabricated makes it into your next interview.
Turn competitor complaints into your next product. Give it customer reviews or a category you want to sell into, and it mines real complaints, clusters them into named market gaps, generates ranked product opportunities with evidence-backed scores, then builds a full product blueprint and supplier-ready brief for whichever idea you pick. Safeguard: every mention count and score is either counted from real data or clearly labeled as qualitative — never invented to look more precise than it is.
経営戦略・マーケティングの実務知見を、誰でも再現できるプロンプトに落とし込みました。競合分析では「公開情報にない事実を創作しない」「推測には[推測][仮説]タグを必ず付ける」「攻撃的な比較表現を避ける」という3原則を徹底し、捏造・誹謗中傷のリスクを抑えた一次分析を出力するように設計しています。コンサルティングの現場で使われる、価格×品質などの2軸ポジショニングや、市場の空き地を見つけるフレームワークをそのまま使えます。
ProspectIQ researches the account, scores sales opportunity (ICP fit, pain, timing, offer match), surfaces buying signals, recommends the right buyer personas, picks one winning sales angle, and writes personalized email + LinkedIn outreach — all in a concise 12-section report. Includes informational revenue, margin, cash, and scenario planning. Planning outputs are decision aids, not professional financial, accounting, or tax advice, and do not guarantee business outcomes.
A full analysis pipeline that turns a dataset into a finished report, not just charts. Hand it a CSV, Excel, Parquet, or JSON file and it cleans the data, scores its quality, runs EDA, and where the data supports it, trains a prediction model with SHAP attribution and a backtested forecast. You get a trust score, ranked findings, and recommendations as a Word doc, an interactive HTML report, and an optional PowerPoint deck. The numbers come from code, so they stay consistent, never invented.
Turn pasted customer interview notes into an evidence-ranked product decision memo. Separate customer evidence from interpretation, surface contradictions, and choose the smallest useful next test.
Multi-factor market analysis where every number is computed from real data — never estimated. Deep dives, a daily radar, comparisons and risk statistics across Asia (Tokyo, Singapore, Hong Kong, Seoul, Taipei, Shanghai, India), the US, Europe and the Gulf, plus commodities, metals and forex. Explainable 0-100 score with visible sub-scores, evidence-alignment scores per horizon, candlestick and comparison charts, and a self-contained HTML report you can keep offline. Answers in 12 languages.
