Scavenger AI

Stop waiting on reports. Connect Scavenger AI to the systems that hold your numbers and start asking for what you need in plain English. Link your database or warehouse, pick the tables you want it to read, and type a prompt like “weekly orders by region for the last 12 months.” Scavenger returns a clean table, a chart, or a statistical summary in seconds, plus an explanation of how it arrived at the result. Continue the thread with follow-ups—“split by channel,” “exclude trials,” “convert to EUR,” “show top 10 only”—and it refines the output without you writing a single query.

Plan with data instead of gut checks. Ask for forward views such as “project next quarter revenue using the past 18 months and seasonality” or “estimate headcount needs if sales grow 15%.” Include assumptions right in your message: “what if churn rises to 4%?” or “cap CAC at $120.” Scavenger recomputes with your inputs, adds trend lines, and highlights drivers so you can compare scenarios. When you need a narrative, request one: “summarize the forecast and key risks in three bullets.” Use this flow to prepare board updates, budget drafts, or market-entry evaluations without hunting through dozens of spreadsheets.

Keep a tight pulse on daily execution. Assemble a one-screen view of essential metrics—sign-ups, activation, conversion, repeat purchase, unit economics—and ask for comparisons to yesterday, last week, or the same period last year. Add prompts like “flag anomalies” or “surface the top 3 movements by impact” to see what changed and why. If something looks off, drill down with a question: “why did gross margin dip yesterday?” Scavenger traces the components (mix, price, discounting, shipping, returns) and points to the likely cause. You can switch views from line to bar to heatmap with a quick instruction.

Handle one-off questions and deep dives just as easily. Request a profitability read on a proposal, a cohort breakdown for retention, or a contribution analysis by SKU or channel. Specify your business rules—“count only paid users after their first invoice,” “treat refunds as negative revenue”—and Scavenger applies them consistently. For benchmarking, ask it to compare teams or locations against targets and spotlight over- and under-performers. For KPI reviews, say “report this month vs target with variance and explanation.” When the task calls for statistics, it includes the method used and confidence ranges, making every answer traceable and ready for decisions.