Stop Guessing What You'll Need on Saturday. Know Exactly What to Bake.
AI demand forecasting for bakeries tells you exactly how many croissants, sourdough loaves, and custom cakes to prep — so you're never overstocked or caught short.
Know your exact bake quantities 14 days ahead — cut waste by up to 30% and never lose a sale to 'sold out' again.
It's Thursday afternoon. You're deciding how much dough to mix for Saturday's shift, and you're doing math in your head based on last month's sales, a hunch about the weather, and whether you remember it being busy two weeks ago. You bake 40 sourdough loaves. By 3 PM, you've sold 28. You're throwing away 12 loaves — $84 in waste you didn't need to take. Next Saturday, you bake 25, and by noon, you're sold out with a line of disappointed customers. This is the problem that AI demand forecasting for bakeries solves. Instead of guessing, you'll see exactly what your customers will order — 2 weeks in advance — based on your actual sales patterns, the day of the week, the season, and what's trending.
Free 14-day trial. No credit card required.
Sound Familiar?
“You're throwing away $200+ a week in unsold bread and pastries”
Wednesday night, you're mixing dough for the weekend based on a guess. You bake 50 croissants on Friday. By Saturday evening, 18 of them are stale and headed to the bin. That's $54 in ingredients and labor you'll never recover. You know you're wasting money, but you also know that if you bake less, you'll run out by noon and disappoint the line of customers waiting for your signature pain au chocolat. You're stuck between waste and lost sales.
“You're losing orders because you run out before closing time”
Saturday at 2 PM, a customer asks for six sourdough boules for a dinner party. You have one left. You lose the sale — and the $42 that came with it. This happens 3-4 times a month. You don't know when to expect the rush or how much inventory to carry. So you either overbake (and waste), or underbake (and lose money). The math is broken.
“You're spending 4+ hours every week guessing inventory instead of baking”
Tuesday evening, you sit down with last month's sales notebook and a calculator. You're trying to predict next week's demand by looking at what sold on each day of the week, accounting for holidays, weather, and whether you ran a promotion. It takes you 2 hours just to decide how much dough to prep. Then Friday night, you're adjusting again based on what actually sold Tuesday through Thursday. You're doing this manually, from memory and spreadsheets, every single week.
“You can't plan staffing because you don't know how busy you'll be”
You need to call your bakers Wednesday to confirm Saturday's shift, but you won't know how much you need them to bake until you've already committed. So you either schedule them for a full shift (and pay for hours you don't need), or schedule light (and scramble when it gets busy). You're making payroll decisions based on a guess.
“Seasonal spikes and holidays catch you off-guard every time”
Mother's Day is coming. You know it'll be busy. But how busy? Do you need 200 cupcakes or 350? Do you prep extra sourdough or focus on decorated cakes? Last year, you underestimated and ran out of ingredients mid-day. This year, you're worried about overbaking. You wish you could see the pattern — what your customers actually ordered during holidays in the past — and use it to plan.
See Your Demand 2 Weeks Ahead. Bake Exactly What Sells.
With AI demand forecasting, your Monday morning looks completely different. You open BakeOnyx and see a forecast for the next 14 days: exactly how many croissants, sourdough loaves, and custom cakes your customers will order on each day. You prep only what you need. On Saturday, you bake 38 croissants instead of guessing between 25 and 50. By 4 PM, you have 2 left — sold out without waste. You've cut your waste by 30%, and you're handling 40% more orders without increasing labor.
- ✓14-day demand forecast tells you exactly how many croissants, loaves, and cakes to bake each day
- ✓AI learns from your actual sales history — weather, day of week, holidays, promotions, and seasonal trends
- ✓Automatic inventory alerts: 'You'll need 180 eggs by Thursday. You have 120. Reorder now.'
- ✓Staffing recommendations based on predicted demand — know if you need full shift or light crew
- ✓Waste tracking: See which products you're overbaking and adjust the forecast confidence level
How It Works
BakeOnyx learns from your sales history
You connect your past 3 months of sales data (or just start fresh if you're new). BakeOnyx sees what you sold on each day, at what price, and in what quantity. It notices patterns: Saturdays are always busier than Tuesdays. Summer months sell more pastries. Rainy days sell more sourdough. The AI builds a model of your specific bakery's demand.
The forecast updates as you get new data
Each day, you log what you actually sold. BakeOnyx recalculates the forecast for the next 14 days. If you had a promotion on Tuesday and sold 40% more croissants, the AI adjusts the forecast for similar future days. If it's unseasonably warm and customers are buying less bread, the forecast adapts.
You see the forecast on your phone or tablet
Open BakeOnyx on your phone Thursday morning. You see: 'Friday: 42 croissants, 28 pain au chocolat, 6 sourdough loaves, 3 custom cakes.' The forecast shows confidence levels (high, medium, low) so you know when to trust it. You can adjust manually if you know something the AI doesn't (like a private event or promotion).
Your prep list auto-generates from the forecast
The forecast feeds into your bake list. Your team sees: 'Friday prep: Mix dough for 42 croissants (batch size 3.2 kg), 28 pain au chocolat (1.8 kg), 6 sourdough loaves (4.5 kg each).' The quantities are already calculated. Your bakers know exactly what to make.
You compare forecast vs. actual and keep improving
Saturday evening, you log what you actually sold: 39 croissants, 31 pain au chocolat, 5 sourdough loaves. The forecast said 42, 28, 6. You were close. BakeOnyx shows you the error rate and adjusts the model. Over 4-6 weeks, the forecast gets more accurate as the AI learns your specific demand patterns.
See Your Demand 2 Weeks Ahead. Stop Guessing.
Start your free trial of BakeOnyx today. No credit card required. See your first 14-day forecast in under 5 minutes.
Before & After BakeOnyx
Planning Saturday's bake for a sourdough-focused artisan bakery
Before
It's Thursday night. You're looking at last week's sales notebook: Saturday sold 34 loaves. The week before: 41 loaves. You average about 38. But it was rainy last Saturday, so maybe fewer people came in. And this Saturday is supposed to be sunny and 72°F, so maybe more. You decide to bake 42 loaves to be safe. Saturday comes. It's gorgeous weather. By 2 PM, you're sold out. You have 15 customers asking for sourdough and nothing to give them. You lose $630 in sales. Meanwhile, Wednesday was slow — you baked 42 loaves and sold 26. You threw away 16 loaves worth $288 in ingredients. Net loss for the week: $918.
After
Thursday morning, you open BakeOnyx. The 14-day forecast shows: Friday 34 loaves, Saturday 47 loaves, Sunday 28 loaves. The forecast is based on your actual sales history, the weather forecast (sunny, 72°F), and the fact that it's a weekend. Confidence level: high. You adjust your Thursday prep accordingly. Saturday, you bake 47 loaves. By 4 PM, you have 3 left. You're sold out without waste. You capture the extra $315 in sales you would have lost. You also didn't overbake on Wednesday (the forecast predicted low demand, so you only prepped 26 loaves). No waste. Net gain for the week: +$315 in recovered sales, $288 in prevented waste = $603 better than last week.
Managing custom cake orders during wedding season (May-August)
Before
It's April, and wedding season is starting. You're getting 8-12 cake inquiries per week, but you don't know how many will convert to actual orders. So you're scheduling your decorators loosely — sometimes they're sitting idle, sometimes you're scrambling. You're also uncertain about ingredient inventory. Do you stock 50 pounds of fondant or 100? You buy 75 pounds to be safe. By August, you've used 68 pounds and have 7 pounds left that you'll never use before it dries out. You lose $140 on expired fondant. Meanwhile, you turned down 3 custom orders in July because your decorators were booked, and you didn't realize demand would spike. You lost $1,500 in revenue.
After
In April, you input your past 2 years of wedding season data into BakeOnyx. The AI forecasts: May 9 orders, June 14 orders, July 18 orders, August 16 orders. You can see the demand spike coming. You schedule your decorators accordingly — light in May, ramping up through July. You also order fondant based on the forecast: 50 pounds in May, 60 pounds in June, 75 pounds in July, 60 pounds in August. You use 68 pounds total and waste nothing. You also know you have capacity for 18 orders in July, so you confidently book all inquiries instead of turning people away. You capture those 3 orders you would have lost ($1,500 in revenue). You save $140 on fondant waste. You optimize your team's schedule, saving 8 hours of idle time per month. Total impact: +$1,500 in captured orders, $140 in prevented waste, 32 hours saved.
Managing a multi-product bakery with croissants, pain au chocolat, sourdough, and custom cakes
Before
You run a 4-person bakery with 12 different products. Every Tuesday night, you spend 2.5 hours deciding what to bake for the week. You're looking at sales from the past month, trying to account for day-of-week patterns, weather, and whether you ran a promotion. You make a bake schedule. Wednesday, you start prepping. By Thursday, you realize demand is different than you predicted, so you adjust on the fly. Friday night, you're doing it again. You're spending 6+ hours per week on inventory guessing. Meanwhile, your bakers are frustrated because the bake list changes constantly, and they're never sure what to prioritize. You're also carrying $3,000 in inventory at any given time — some of it slow-moving, some of it constantly out of stock.
After
BakeOnyx forecasts demand for each product, each day, 2 weeks ahead. Tuesday morning, you open the app and see: Monday croissants 28, pain au chocolat 19, sourdough 12, custom cakes 2. Tuesday: croissants 24, pain au chocolat 18, sourdough 14, custom cakes 1. And so on. You spend 15 minutes reviewing the forecast (it's usually accurate). Your bakers see a stable, daily bake list on their phones. They know exactly what to make and in what order. You're no longer guessing or adjusting mid-week. You cut inventory carrying costs from $3,000 to $2,100 (30% reduction). You save 5.5 hours per week on scheduling. You reduce waste by 25%. Your team is happier because the work is predictable.
What Changes for You
Cut waste by 30% and recover $600-$1,200 per month
You're no longer overbaking to avoid stockouts. You bake based on predicted demand, not fear. A typical artisan bakery throwing away 40 loaves per week at $18 per loaf is losing $2,880 per month. Cut that waste by 30%, and you recover $864 per month — $10,368 per year. That's real money back in your pocket.
Handle 40% more orders without hiring more staff
Because you're not wasting time guessing inventory, and your bakers aren't scrambling to adjust mid-shift, you can take more orders. You know exactly what capacity you have. A bakery that currently handles 80 custom orders per month can confidently take 110-120. That's an extra $1,500-$2,000 in revenue per month, with the same team.
Stop losing sales to 'sold out' — recover 15-20 lost orders per month
You're forecasting demand, so you're rarely caught short. That customer who wanted 6 sourdough loaves at 2 PM? You have them. A typical bakery loses 12-20 sales per month because they ran out. At an average order value of $35, that's $420-$700 in lost revenue per month. With accurate forecasting, you capture most of those sales.
Schedule staff with confidence — save 3 hours per week on scheduling decisions
You know Monday morning whether Saturday will be busy or slow. You schedule your team based on predicted demand, not guesses. No more paying for unnecessary hours or scrambling when it gets busy. Save 3 hours per week on scheduling decisions, and optimize labor costs by 10-15%.
Navigate seasonal spikes and holidays without panic
Mother's Day, Easter, Christmas — the AI sees these coming and adjusts the forecast. You know 6 weeks in advance that you'll need 40% more capacity in May. You can plan ingredient orders, schedule staff, and book custom orders with confidence. No more last-minute scrambles.
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See Your Demand 2 Weeks Ahead. Stop Guessing.
Start your free trial of BakeOnyx today. No credit card required. See your first 14-day forecast in under 5 minutes.
Free 14-day trial. No credit card required. Plans from $29/month.