Explainable Demand AI
See the exact drivers behind every forecast — baseline, seasonality, campaign uplift and your own overrides — with accuracy tracked automatically.
datapraxio forecasts demand, keeps the right stock in place, automates ordering and plans promotions and pricing across every store, warehouse and supplier — so the right product is in the right place at the right time.
Built for retail, wholesale, grocery, CPG and distribution teams
Explainable demand math, overnight order proposals, and a composable workspace where you only review what needs a human decision.
See the exact drivers behind every forecast — baseline, seasonality, campaign uplift and your own overrides — with accuracy tracked automatically.
Right-size safety stock per product and store from real demand swings and supplier lead-time reliability, releasing cash tied up in excess stock.
Overnight store and warehouse order proposals that respect shelf life, delivery calendars, pack rounding and minimums. You only handle the exceptions.
Predict promotional uplift and post-offer dips before launch, pre-allocate stock for day one, and time seasonal markdowns to protect margin.
Send scarce DC stock where it sells best, track supplier delivery performance in real time, and automate VMI and contractual order rules.
Connected tables, charts and maps that filter each other live — with a pending-changes buffer and side-by-side what-if scenarios before you commit.
Pick an area to see the capabilities behind it.
Click through four core views from the datapraxio app — inspect explainable order math, explore forecast drivers, triage exceptions, or test a promotion.
Simplified, in-browser versions of what datapraxio does on your real data.
Adjust the drivers and watch the forecast react. The shaded band is the likely range; the dashed line is simulated actual sales.
See how much cushion a product needs. Bigger swings in demand or slower deliveries call for more; aiming for higher availability moves the bar up.
See the typical scale of cash freed from overstock and hours returned to your planning team when routine orders are automated and buffers follow real demand.
You don't need a sprawling system on day one. Turn on the suite that solves your biggest headache first, and add more when your team is ready.
Whatever your role and whatever you sell, see what changes when planning, buying and supply work as one.
Scroll through a planner's day. Illustrative screens, not customer data.
While you slept, datapraxio read yesterday's sales, checked stock and prepared the day's orders for every supplier and store.
You approve the routine orders in a click, then spend your time on the few that deserve a human decision.
Marketing adds next week's promotion. The extra demand shows up in the plan, so stock is ordered in time.
The store manager reacts to a busy afternoon with a quick order from their phone — in the same system, with a record.
Planning, buying, marketing and finance look at one picture. Tomorrow's orders are already being prepared.
Ten quick questions. Get your own result and where to start. About 2 minutes.
Connect the data you already have — sales, stock, products and suppliers.
Smart forecasts for every product and store, always learning.
The ideal stock levels and order quantities, worked out for you.
Review exceptions, approve, and send orders — automatically where you trust it.
The same team, the same stores — a different Monday morning.
Illustrative everyday situations, not customer results.
Straight answers to what people ask us most.
Anyone who has to decide what to order, how much, and when — across many products, many places, or both. That usually means retailers, wholesalers and consumer-goods companies, but also teams inside them: planners, buyers, category managers, store operations and finance.
For example: A grocery chain with 200 stores, a wholesaler with three warehouses, or a growing online shop that has outgrown its spreadsheet.
No. Size matters less than complexity. If you manage stock across more than a handful of products or places, and keeping the numbers right is taking more and more of someone's week, a planning tool starts to pay off.
If you are smaller than that, spreadsheets may be perfectly fine, and we say so on our comparison page.
It starts with a conversation, not a contract. The usual path looks like this:
It depends on how tidy your data is and how many areas you want to start with, so we won't quote a number we can't stand behind. What we can say is that a narrow start is always faster than a big-bang project.
After the first conversation we will give you a realistic plan, including what we would need from your side.
Yes, and we recommend it. Pick a group where the pain is clear, such as promotional items, fresh products or a difficult supplier.
Your team can compare the suggestions with their own judgement and see where they differ. Once people trust what they see, widening it is a much easier decision.
Yes. Use the Book a demo page to suggest a day and time, or send a message from the contact form.
The best demos are about your situation, not ours. If you tell us a few things beforehand, such as your type of business, rough number of products and what is hardest right now, we will show you what matters to you.
No, and it isn't meant to. Your ERP remains the system of record for orders, invoices and stock. datapraxio sits next to it, reads the data, works out what to do, and hands the approved orders back.
That means no rip-and-replace project, and your finance and warehouse teams keep the tools they know.
The essentials are usually:
If some of it is missing or messy, that is normal. We start with what you have and improve it as you go.
Not overnight. The idea is that your team keeps doing the judgement part of the job, while the system handles the repetitive groundwork.
Most of the change is gradual: fewer hours spent copying numbers, more time spent on the exceptions that really need a person.
The planner, always. Every suggestion comes with a plain-language reason, and you can accept it, change it or reject it.
For example: The system suggests ordering 400 units because a promotion starts in two weeks. You know the supplier just warned of a delay, so you raise it to 500. That change is recorded, with who made it and when.
Yes, and this is where many teams feel the difference most. Promotions and seasons are planned in the same place as everyday replenishment, so supply knows about an offer when marketing does, not after the poster is printed.
Seasonal products also get an end-of-season view, so you think about the markdown before the season begins instead of after.
Yes. For short-life products, ordering too much is as costly as ordering too little, because extra stock turns into waste.
The planning looks at shelf life and recent sales together, so it doesn't just add a safety margin and hope for the best.
The whole journey from forecast to shelf, organised into seven modular suites:
No. Most teams start with one or two suites — such as Forecasting and Replenishment — and switch on more only when they are ready. The sidebar and workspace adapt so planners only see the tools their role actually uses.
Because everything shares the same data model, adding a suite later doesn't mean starting again. It just widens the shared picture.
That is a design principle for us. If we can't show why a number is what it is, we don't think you should trust it.
Suggestions come with a short reason, and changes are logged, so you can answer the question 'why did we order this?' weeks later without digging through emails.
The product supports five languages so that teams in different countries can work in their own. If you have a specific language in mind, ask us and we will tell you plainly whether it is covered.
That is one of the main points. Planning, buying, marketing and finance often work from four different copies of the numbers, and then spend meetings arguing about whose is right.
With one shared plan, each person sees what they need, with access matched to their role, and everyone starts from the same facts.
Yes — right on this page. Try the interactive workspace walkthrough to click through morning order approvals, exception triage and promotion planning, or play with the live simulators in Try it live.
When you are ready to see how it looks with your own product structure and rules, book a short live demo below.
Access is role-based, so people only see what their job needs, and changes are logged so there is a trail. Your data stays yours.
Security needs vary by company, so if you have specific requirements, such as where data is stored or what your IT team will want to review, ask us and we will answer in detail.
We built it with GDPR in mind. In practice that means:
Only what is strictly necessary, such as remembering your cookie choice. We don't use advertising cookies.
If we ever add visitor statistics, they will only run after you agree. The Cookie Policy lists exactly what is used and why.
They are used only to reply to your request, nothing else. You can ask to see them, correct them or delete them at any time.
Just email info@datapraxio.com and we will take care of it.
It depends on which areas you use and the size of your operation, so a generic price list would mislead you. We would rather understand your needs first and give you a clear, honest quote.
What we promise is no surprises: you will know what you are paying for before you decide.
You can reach us any time at info@datapraxio.com. The details of onboarding and ongoing support are agreed together when we plan your first step, so they fit how your team works.
Then we will tell you. Our guide, quiz and spreadsheet comparison are free, and they are meant to help you work out where you stand, even if you never become a customer.
We would rather be honest about fit than sell something that doesn't help.
Pick a time for a short demo, built around your own planning challenges.
Pick a time directly in our calendar.
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