Automate Your Pricing. Grow Without Guessing.
Honama uses real time data to optimize your pricing strategy, so you can focus on scaling your store, not crunching numbers.
Intelligent Pricing, Stress-Free Operation
Say goodbye to long hours of pricing headaches! Imagine the liberating feeling of having a smart system optimize your prices in the background, while you sit back and enjoy the increasing revenue. Our mathematical model is like a reliable business partner who never stops working and always makes the best decisions for you.
Unlock Ecommerce Growth With Our Smart Dynamic Pricing
Dynamic Adaptation, Competitive Edge
The market moves fast - now you can move faster.
Our application reacts in real-time, so you always offer the right price and stay ahead of the competition.
Data-Driven Decisions, Human Intuition
We use real data to eliminate guesswork, filtering out noise and randomness to deliver accurate, reliable pricing decisions. Trust the science, not the hunch.
Security and Transparency
Your data is yours - and we protect it. We don’t collect or store personal information. Sensitive data is encrypted, and your trust is our top priority.
Why Choose Honama Smart Dynamic Pricing?
Most pricing tools treat symptoms — we target the root cause. Instead of blindly following competitors, Honama analyzes customer behavior to understand why people buy.
Chasing competitor prices is like tuning into static. We tune into the signal: real customer needs
Try Our Shopify App
Stay ahead of your competition! Start growing with Honama today and experience the impact of smart, data-driven pricing for your ecommerce business.
With our 30 day free trial, you can get a feel for our Shopify App and start seeing the benefits unfold.
From Our Clients
Seamless API Integration Dynamic Pricing with a Single Call
Our price planning model is available via API, making it easy to integrate into any webshop system. It’s incredibly simple to use: just send your sales data, and the API instantly returns the optimal price.
No complex setup, no waiting – just data in, price out. This allows you to react to market demand in real time and maximize your profits automatically, with no manual effort required.
Need help with the integration? We provide full support to set up the API communication smoothly and efficiently.
Frequently Asked Questions
This is not a generic AI. It is a world-class, custom-developed mathematical model, the result of several years of dedicated research. It's a fully autonomous system built for one purpose: to optimize every single price in your webshop with unparalleled precision and no manual work required.
Approaching a Nash Equilibrium: It constantly works to maximize your profit while also keeping your customer's interest high. This creates a win-win balance where you earn the most possible, and buyers remain loyal.
Understanding True Importance: It considers an item's "demand gravity," not just its profit margin. This means it understands the complex role each product plays in your store.
It fully automates your pricing to keep it optimal at all times. This means it helps you sell out of fading stock by adapting to lower demand, and it makes special sales or discount events unnecessary because your prices are always maximizing profit by adapting to every trend.
Yes, because it can see what humans can't. Our model deeply considers the time dimension and reacts to both micro and macro trends instantly. It processes the ocean of numbers your sales generate and makes consistently optimal decisions, which is impossible for a person to do, no matter their experience.
Our model is specifically designed to handle this. It has a strong and safe "price discovery" feature, allowing it to give reliable recommendations even with very few data points. It is highly robust against the noisy or random data that new or niche products often have.
Don't be. The model has mathematical guarantees. It will never suggest a price below your cost or too high. It is programmed to always try good price ranges and makes good decisions, safely exploring price planning to find the perfect balance between profit and demand.
Most other apps either require complex manual rules or trap you in profit-killing price wars by blindly copying competitors. Our model is fundamentally different. It doesn't just copy prices; it adapts to the entire complex market dynamic.
Absolutely not. Your data is 100% private and siloed. The pricing decisions for your store are calculated using only your own sales history and customer behavior. There is absolutely no sharing or cross-use of data between shops. Your optimization is yours alone.
Our mathematical model needs product identifiers and their sales data to function — that's how it calculates your optimal prices. However, this information can never be used against you. The data processing is anonymous — for example, we see sales figures for 'Product ID 123', but we have no idea what that product actually is. We have no incentive — and no technical means — to use your information for any purpose other than to help your own business grow.
Our model adapts to seasonal trends within months but also capable to react sudden market dynamics within weeks or even within a day, so it does react to special promotions and always keep prices optimal that is best for the seller and the buyer as well!
Do not expect fleeting results, and certainly not immediate magic!
You are likely not doing anything wrong. The model works silently in the background, using continuous mathematical optimization.
It takes time to discover the optimal path – that's why your free 30-day trial provides that crucial window to see the short-term benefits unfold.
Our system is designed for resilience in the face of fluctuating demand. Whether customer interest surges unexpectedly or wanes suddenly, our adaptive model continuously analyzes the situation and dynamically adjusts prices to find the optimal balance for both maximizing seller profit and ensuring customer satisfaction.
No, it won't. Our model monitors not only sales but also how often and at what intervals they occur. If customers wait for a lower price, it will appear less frequently because the system also optimizes profit and sales frequency.
In the case of low stock, your customers may have an increased demand next time that our model quickly adapts to. Though there is a delay in the reaction, this is true for everything in life. The question is not if there is a delay, but how smart the reaction is. So the stock runs out, but since your customers will have to wait, our model will be able to "scan" the optimal price, which could be much higher, depending on demand.
Our model reacts quickly to market changes, but not necessarily to competitors' prices, but to customer behavior. Our goal is not to continuously undercut prices, because that is not good for anyone in the long run. The point is that your prices are optimized for your customers' willingness to pay. Always maximizing the interest of both the seller and the buyer as well!
Our model detects if sales of a product suddenly decrease. In this case, the system may automatically suggest a lower and optimal price to boost sales again.
Our model intelligently handles the lack of data. If neither the product's cost nor historical sales data is available, then we do not provide a price recommendation, because no reliable answer can be given with complete data absence. However, if the product's cost is provided, but there is no sales data, or only a single price is available, the model suggests a starting price. This is a smart estimate, which the model then further refines as more data becomes available.
For example, if we purchased a product for $100 and it hasn’t sold yet, could the model suggest a price of $85 or even $20? Or could it suggest something like $300?
No, the model will never suggest a price below the purchase cost under any circumstances. It always aims to maximize profit with the greatest possible stability and safety. In the example above, it will never recommend a price lower than $100. The upper price limit is adjusted based on demand: if there is strong demand for a product, the model may gradually increase the price until it detects a decline in sales volume or demand stability. In this way, the model intelligently adjusts prices in response to market behavior.