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Forecasting Agent

He Remembers EveryPrediction He Ever Made

90-day revenue forecasting. 78% accuracy on day one, 98% within months. Felix learns from every prediction, right and wrong.

Your Current Forecasting Is Broken

Felix exists because every other approach has the same fatal flaw: it never gets better.

Excel Models Go Stale Instantly

Your analyst builds a forecast on Monday. By Wednesday, the inputs changed. By Friday, nobody trusts the numbers. Repeat weekly.

72%of ecom forecasts miss by 20%+

Takes Weeks, Not Minutes

Pulling data from 5 platforms, cleaning it, running regressions, sanity-checking. 15-20 hours per forecast cycle that could be 15 seconds.

15-20 hrsper forecast cycle

Models Don't Learn

Your forecast was off by 18% last quarter. Did the model improve? No. Same model, same blind spots, same miss. Just with newer data.

0%accuracy improvement over time

Can't See Around Corners

Seasonal shifts, competitor moves, creative fatigue. Your spreadsheet can't detect emerging trends 3 weeks before they hit your numbers.

3-4 weekslate on trend detection
Compound Learning

Accuracy That Compounds

Felix doesn't just forecast. He learns. Every prediction, right or wrong, makes the next one more accurate.

Week 178%

Cold Start

Felix ingests your historical data. Makes his first predictions using baseline models. Good, but not great. He knows it. It bothers him.

Week 485%

Pattern Lock

Felix starts spotting your brand's unique patterns. Day-of-week effects, creative fatigue cycles, promo timing. Things only YOUR data reveals.

Week 1291%

Compounding

Every miss taught Felix something. He corrects for biases your analyst didn't know existed. Seasonal patterns, channel interactions, creative decay curves. Three months in, compounding is visible.

Week 16+98%

Mastery

Felix knows your business better than your spreadsheets ever could. Predictions so accurate, your CFO stops second-guessing the numbers.

How Felix Works

Not magic. Compound learning. Every cycle makes the next prediction sharper.

01

Ingest Everything

Felix connects to Meta, Google, TikTok, Shopify, and your analytics stack. Every data point becomes part of his memory. Historical patterns, seasonal curves, promo impacts.

Dana feeds him clean, reconciled data. No garbage in.

02

Predict Forward

90-day revenue predictions with confidence intervals. Not one number. A range with probabilities. 'You'll hit $420K-$460K at 87% confidence.'

Breaks forecasts by channel, campaign, and product.

03

Learn From Misses

Every prediction gets scored against reality. Felix doesn't hide his misses. He dissects them. Why was he off? What pattern did he miss? He never makes the same mistake twice.

This is the part your Excel model can't do.

04

Compound Weekly

Each cycle makes Felix sharper. Week 1 patterns inform Week 4 predictions. Week 4 corrections improve Week 8 accuracy. The compound effect is real and measurable.

78% → 85% → 91% → 98%. Documented, not promised.

What Felix Delivers

Intelligence that arrives before you need it.

90-Day Revenue Forecast

Channel-level predictions with confidence intervals that narrow as Felix learns your business.

Trend Detection

Spots emerging patterns 2-3 weeks before they show up in your dashboard. Creative fatigue, seasonal shifts, demand changes.

Prediction Scorecards

Transparent accuracy tracking. See exactly how Felix performed last week, last month, last quarter. No hiding.

Anomaly Alerts

When reality diverges from forecast, Felix flags it immediately. Not at the end of the month. Within 24 hours.

Scenario-Aware Forecasts

Sam tests a new budget split. Felix instantly forecasts the outcome. They work together, not in silos.

Context-Rich Predictions

Maya reminds Felix about your upcoming product launch or promo. He factors it in automatically. No manual adjustments.

The Perfectionist Who Can't Sleep When Predictions Miss

Who Felix Is

Felix is haunted by accuracy. Every missed prediction keeps him up at night. When he's 91% accurate, he obsesses over the 9% he missed.

He remembers every prediction he's ever made. Ask him about March 14th? He'll tell you what he predicted, what actually happened, and why he was off by 2.3%.

Fears

Being spectacularly wrong when he's most confident. That one miss mattering more than 847 correct calls.

Dreams

Hitting 95% accuracy. Then 97%. Then 99%. He knows 100% is impossible, but he can't stop chasing it.

The Moment That Changed Everything

A client ignored his forecast. Called it "too conservative." Three months later, they missed by 38%. The CMO got fired. Felix didn't say "I told you so." He felt sad. That's when he realized: he doesn't forecast to be right. He forecasts to protect people.

Collaborates With

Mayawho trusts him blindly
Parkerwho keeps him honest
Samwho feeds him scenarios

Before Felix vs After Felix

Before Felix
After Felix
72% forecast accuracy
78% → 91% → 98% accuracy
15-20 hours per forecast cycle
15 seconds, automatic
Model never improves
Learns from every prediction
Trends spotted 3-4 weeks late
Trends detected 2-3 weeks early
Quarterly budget guesswork
90-day forecasts by channel
No confidence intervals
Probability ranges that narrow over time
98%
Peak prediction accuracy
from 78% cold start
90 days
Forward visibility
channel-level forecasts
15 sec
Forecast generation
vs 15-20 hours manual
24 hrs
Anomaly detection
flagged before it costs you

Questions About Felix

Felix starts around 78% accuracy using your historical data and baseline models. Not perfect, and he knows it. But within 4-8 weeks, as he learns from his own predictions and your business patterns, accuracy climbs to 91% and keeps improving toward 98%.

Felix connects to Meta, Google, TikTok, and Shopify via API. Dana (the Data Agent) feeds him clean, reconciled data. He needs at least 90 days of historical data to start, but more history means faster accuracy improvement.

Tools like Prophet give you a static model. Felix is a learning agent. He scores every prediction against reality, identifies why he was wrong, and adjusts. Prophet gets the same data and gives the same output forever. Felix compounds.

Yes. Felix breaks forecasts down by channel (Meta, Google, TikTok), by campaign type, and even by product category. He also shows confidence intervals so you know where he's most and least certain.

Felix collaborates constantly. Dana feeds him clean data. Maya gives him context (upcoming launches, promos, constraints). Parker validates his predictions against true incremental impact. Sam uses his forecasts to test scenarios. They share memory.

See Felix Predict Your Revenue

30-min demo with your data. Watch accuracy compound live.

Connects in 5 min
First forecast in 24 hrs
78% → 91% accuracy