Latest / Cash Flow Conversations with Fexingo: Working Capital, Receivables, and Small Business Finance / How a Food Truck Used Dynamic Pricing to Smooth Cash Flow
Transcript
- Lucas: So you're a food truck owner in Portland. It's Tuesday, pouring rain, and you've got fifty pounds of prepped brisket that'll go bad by Friday. You could slash prices, but you don't want to train customers to wait for discounts. Maria Reyes of The Spiced Wheel faced exactly this, and her solution was dynamic pricing — not for airlines, but for tacos. Luna: I love this. Everyone thinks dynamic pricing is this big corporate thing — Uber surge, Amazon changing prices by the minute. But a food truck? That's so specific. How did she even start? Lucas: She started with the problem. Her cash flow was a roller coaster. On sunny Saturdays, she'd sell out by 1 PM and leave money on the table. On rainy Tuesdays, she'd toss a third of her inventory. The variance was brutal — some weeks she'd clear $8,000, others barely $2,000. Her working capital was always stressed. Luna: Right, because the fixed costs don't change. Rent for the commissary kitchen, labor, truck payments — they're due regardless. Lucas: Exactly. So she looked at her data for six months. She realized that weather accounted for 60% of the variance. And she had a hunch that customers would pay more for a guaranteed taco on a sunny day, but would also come in on a rainy day if the price was right. Luna: So she built a pricing algorithm? That sounds expensive. Lucas: Surprisingly not. She used a simple tablet app — a freelancer built it for about $4,000. The app pulls the weather forecast for the next 48 hours, checks her inventory levels from her POS system, and suggests a base price for each menu item. Then she can override it manually if she wants. The algorithm is basically a set of rules: if rain probability > 70%, drop prices 15% across the board. If sunny and high of 80, raise prices 10% on premium items. Luna: Wait, so she's charging more on a sunny day? Doesn't that feel gouge-y? I mean, people are already lining up. Lucas: That's the fear, right? But here's the thing: she didn't raise prices on everything. Only on the high-demand, high-margin items — like the loaded brisket nachos. And she kept the basic taco price stable. The regulars actually told her they felt it was fair. One guy said, 'On a sunny day, I'm happy to pay a premium for the experience. On a rainy day, I appreciate the break.' Luna: Huh. So it's like a voluntary surcharge for convenience? I could see that working. What were the actual numbers? Lucas: After six months, she saw a 15% increase in revenue on what used to be slow days. That's because the lower prices brought in enough extra customers to offset the discount. On sunny days, revenue was up about 8% from the price increases — and she sold out less often, because the higher prices smoothed demand. Total revenue grew about 12% year-over-year. But the bigger win was cash flow stability. Luna: The variance dropped? Lucas: From a 40% week-over-week swing to under 10%. That meant she could predict her working capital needs. She stopped relying on a credit card for inventory purchases. She started buying in bulk and negotiating better prices with suppliers. One produce vendor gave her a 5% discount for committing to a weekly order, because she could guarantee the volume. Luna: That's a huge ripple effect. Stable cash flow unlocks better supplier terms, which lowers costs, which improves margins. It's a flywheel. Lucas: Exactly. And the food waste? Down 20%. She went from tossing $200 worth of brisket a week to about $40. That's an extra $8,000 a year in saved costs. Not bad for a $4,000 app. Luna: I'm curious about the customer reaction. Did anyone get angry? I can imagine a Yelp review: 'They charged me $5 for a taco on a sunny day but $4 on a rainy day — unfair!' Lucas: She got one complaint in the first month. A tourist who didn't realize the prices changed. She explained it, and the guy actually came back the next day on a rainy day and said, 'Okay, I get it now.' She also posted a sign at the window: 'Today's weather-adjusted prices.' It's transparent. People appreciate knowing why. Plus, she never changes prices more than 15% in either direction. It's not a surge-pricing nightmare. Luna: So the algorithm is simple — weather and inventory. No competitor pricing, no time-of-day? That seems smart for a small operation. Overcomplicating it would be a disaster. Lucas: Right. And she learned in the first week that she needed to keep a manual override. One day the forecast said 'mostly sunny' but by noon it was overcast and cold. She dropped prices manually for the lunch rush. The algorithm is a guide, not a dictator. Luna: That makes me think about other small businesses that could use this. Coffee shops with weather-dependent foot traffic. Bike rental places. Even lawn care services. Lucas: Exactly. The principle is: variable demand, perishable inventory, and a pricing lever. Any business with those three things can benefit. Maria's case is just one example. But it's a great one because it's so concrete. Luna: And honestly, if today's episode gave you one idea that helps smooth your cash flow, that's worth a coffee. You can find us at buy me a coffee dot com slash fexingo. No pressure — just if it moved the needle. Lucas: Yeah, listener support lets us keep this ad-free and focused on real cases like this. Appreciate it. So back to the algorithm — Maria also found that dynamic pricing changed her staffing patterns. Luna: How so? Lucas: She used to schedule two people for every shift, because she couldn't predict the rush. Now, with more predictable demand, she schedules one person on low-demand days and three on high-demand days. Labor costs dropped 6% as a percentage of revenue. And her staff liked it, because they worked fewer slow shifts where they just stood around. Luna: So it's not just about pricing — it's about using price as a signal to align supply and demand across the whole business. That's a working capital improvement from multiple angles. Lucas: Right. Inventory turns improved, labor efficiency improved, and cash flow smoothed. The net effect: she went from barely breaking even some months to a consistent 15% net margin. She's now looking at expanding to a second truck. Luna: Any advice for someone who wants to try this? The tech barrier seems lower than most people think. Lucas: Maria's advice: start with a spreadsheet. Track your daily sales, weather, and any other variable you think matters — day of week, local events, whatever. Do that for three months. You'll see patterns. Then build a simple rule, like 'if rain, discount 10%.' Test it for a month manually. If it works, automate it. Don't buy software first. Luna: I like that. Low risk, high learning. And if the manual test fails, you're only out the time. Lucas: Exactly. And one more thing she emphasized: communicate with customers. Put a sign up. Post on social media. 'Today's weather special: 15% off because it's rainy.' People love a deal. They don't love feeling tricked. Transparency is free. Luna: So the takeaway: dynamic pricing isn't just for big tech. It's a cash flow tool for any small business with variable demand and perishable inventory. And the key is starting simple. Lucas: Yeah. Maria's story is a reminder that the best cash flow fixes often come from understanding your own data and having the courage to experiment. She didn't need a Harvard MBA. She just needed a spreadsheet and a willingness to try something new. Luna: That's a good place to leave it. Thanks, Lucas. Lucas: Thanks, Luna. See you next time.