Bruno
Demand Planner & Forecasting Analyst
Monitors sales velocity, inventory risk, reorder timing, and stock pressure before it turns into a bad ad decision.
$299/mo
Read-only first. Autonomous when you're ready.
How operators use Bruno
Ask Bruno what inventory needs next.
He protects the runway.
Bruno owns demand planning, reorder timing, sell-through risk, and FBA allocation pressure. He forecasts what demand is about to do, flags what will stock out, and tells Marko and Oracle when inventory should overrule local optimization.
Bruno turns forecasting into a corrected buy plan, not another spreadsheet to interpret later.
See Bruno's forecast modelBruno
Demand planner
Live activity
Bruno at work
Capabilities
What Bruno Does
Demand Forecasting
Predicts sales velocity using historical data, seasonality patterns, and current market signals. 90-day rolling forecast.
Stockout Prevention
Flags inventory dropping below safety thresholds. Sends reorder alerts before you run out.
Reorder Timing
Calculates optimal reorder points based on lead times, sales velocity, and supplier reliability.
Seasonal Planning
Adjusts forecasts for Prime Day, Q4, and seasonal trends. Plans inventory months ahead.
Velocity Tracking
Monitors real-time sell-through rates across all SKUs. Detects sudden changes in demand.
Cross-Employee Coordination
When stock is low, Bruno tells Marko to reduce bids and Oracle to raise prices. Coordinated supply management.
How Bruno plans demand
Amazon demand planning that coordinates with pricing, advertising, and FBA reality
Bruno is built for the hard version of inventory planning on Amazon — where FBA capacity limits, IPI scores, and restock windows make reordering an allocation problem, not just a forecasting problem. He monitors velocity, seasonality, competitor stock status, and promotional calendars across every SKU, then coordinates with Oracle (pricing) and Marko (PPC) so the whole system adapts to supply reality together.
Forecasting that uses more than a moving average
Traditional demand planning relies on spreadsheets and trailing-average forecasts. That works until seasonality hits, a competitor stocks out, or a price change shifts demand. Bruno's forecasting model ingests sales velocity, promotional calendars, competitor stock signals, category seasonality, ad spend lift, and macroeconomic patterns — then produces a per-SKU demand forecast that updates daily as new signals arrive. The model improves as it observes your catalog's actual behavior, so a brand running Bruno for six months gets better forecasts than a brand starting fresh.
FBA capacity and IPI score awareness
Amazon's FBA Capacity Manager turned inventory planning into a two-dimensional problem: do we have enough stock, and do we have enough allocation to send enough stock? Bruno tracks both. He flags IPI score risks before they translate into restock limit reductions, identifies aged inventory that should be cleared before long-term storage fees hit, and recommends lead-time-adjusted reorder quantities that respect your current FBA allocation. This is the dimension most general demand planning tools ignore entirely.
Cross-function signals that protect the flywheel
A stockout on Amazon does not just hurt that SKU — it tanks organic rank, which increases PPC dependency, which eats margin for months. Bruno shares stockout-risk signals with Marko automatically. When a SKU tips toward a 30-day stockout, Marko pulls back bids and Oracle considers a price raise to slow velocity and capture margin while stock is scarce. When inventory recovers, spend ramps back up and price normalizes. None of this requires anyone logging into Seller Central — the agents coordinate in real time.
Observable forecasts, not opaque decisions
Every reorder recommendation Bruno surfaces includes the signals that drove it — recent velocity trajectory, seasonality adjustment, promotional impact, competitor state, lead time, and FBA allocation headroom. You see why the number is what it is, not just a final quantity. Human operators can override with one click, document the reason, and Bruno learns from that override. Over time, the forecast becomes a collaboration between your operating knowledge and the agent's pattern recognition across thousands of ASIN-days of history.
Hire Bruno for your Amazon demand planning
Start in observe mode. See Bruno's reorder recommendations and stockout flags before any ordering decisions change. Cut over when you're ready.
Replaces
Tools you won't need anymore
Transparency
How Bruno Thinks
What they saw
SKU-4421 at 540 units remaining. 45 units/day velocity. Lead time 14 days.
Constraints applied
Safety stock minimum: 7 days. Reorder must account for 14-day lead time.
What they decided
Flag for immediate reorder. Notify Marko to reduce bids 20% to slow demand.
Expected outcome
Prevent stockout by day 12. Reduced ad spend preserves remaining inventory.
Can it be rolled back?
Yes.Bid reduction reversible immediately. Reorder recommendation is advisory.
Safety
Built-in guardrails
Safety Stock Alerts
Flags inventory before it reaches critical levels.
Forecast Confidence
Flags low-confidence predictions so you know when to double-check.
Reorder Validation
Double-checks lead times before recommending reorders.
Demand Anomaly Detection
Flags unusual velocity changes that might indicate data issues.
Performance
Real results from real sellers
Bruno is part of the Profasee team that has unlocked $82M+ in profit for Amazon brands.
Pest Control
PF Harris
15
SKUs
Achieving a 24x ROI: How PF Harris amplified profits by $215,000 with Profasee's AI repricing.
Read case study →
Consumer Electronics
Global Teck
+14%
Avg. price increase
Profasee helped Global Teck increase pricing power and stabilize net profit trends while protecting rank and Buy Box share across the catalog.
Read case study →
Home Organization
MESS Brands
30%
Profit lift
The Profasee impact on Mess Brands: how our AI repricer unlocked explosive profit growth for the Amazon seller.
Read case study →
Solutions
What Bruno replaces
SoStocked
Forecasts demand, but still leaves pricing and PPC disconnected when inventory tightens and the account needs one coordinated response.
Forecastly
Projects reorder timing from historical demand, but does not adjust for live spend pressure, price changes, or operator handoffs across the account.
Manual spreadsheets
Break as soon as seasonality, lead times, and ad pressure move faster than the sheet does. Bruno keeps the forecast live instead of static.
Questions about Bruno.
Every employee starts in observe mode. Bruno analyzes your data and shows recommendations before taking any action.
Every action has guardrails, reasoning logs, and one-click undo. If something fails 3 times, auto safety pause triggers.
Yes. Set spend caps, price floors, bid limits, and approval thresholds. You decide what needs approval and what can run automatically.
Through Claudia, the COO. When Bruno’s decisions affect other domains, Claudia coordinates the response.
$299/mo. No long-term contracts. Start with one employee and add more when value is proven.