The dashboard half of dual-mode AI.
One of two ways your team uses the same system. Most dashboards have 47 charts — yours will have the five that matter, with AI insights generated daily. For everything else, the chat is one click away.
The five-number rule.
Most dashboards die because nobody makes a decision from them. Ours start with a question: "What are the 5 numbers that, if you saw them tomorrow morning, would change what you do today?" Everything else is supporting cast.
We design dashboards backwards from decisions, not data. If a chart doesn't change a decision, it doesn't go on the screen.
Built for your industry.
Different businesses care about different numbers. We've built dashboards for manufacturing, D2C, fashion, F&B, B2B services, and more. Each one starts with discovery to find your five numbers — not someone else's.
D2C brands
Revenue, subscribers, repeat rate, AOV, top SKUs. Subscription health, churn signals, replenishment timing.
Fashion & apparel
Sell-through rate, GMV, return rate by reason code, inventory days, SKU-size heatmap, style-mix performance.
F&B & subscriptions
Daily orders, churn, hourly peaks, top cities, top sellers. AI-flagged anomalies like sudden drop in a region.
Manufacturing
Output vs plan, OEE, downtime by line, shift performance, and every operational loss ranked by cost — the numbers behind Plantel.
B2B services
Pipeline velocity, deal aging, MQL-to-SQL conversion, win rate by source, capacity utilization across the team.
Anything else
We start by shadowing your operations. The numbers that matter become obvious in 2–3 days.
A briefing waiting by 9 AM.
Every Proarc AI dashboard ships with an AI insights layer that generates a daily briefing automatically. Not metric summaries — actual recommendations, written like a smart analyst on your team would write them. Examples of insights our dashboards have generated:
"Vitamin C Serum hit 41% attach with Toner. Promote as bundle homepage hero. Projected lift: +8% AOV."
Reads two weeks of order data, identifies attach-rate winner, suggests action.
"Size S Linen Dress selling 2.3× faster than stocked. Auto-recommend a re-cut. Est. revenue lift: $48K this quarter."
Compares sell-through against inventory plan, flags re-buy opportunity.
"8 PM order volume spiked +31% w/w in New York. Schedule flash bundle at 7:30 PM tomorrow. Est. $3.8K additional revenue."
Detects regional time-of-day pattern, recommends time-bound action.
Let's talk.
Share a brief description of your business and current workflows. We'll respond with a proposed build and indicative pricing.