Understand the impact before making pricing decisions.
Price for volume without giving the margin away. Elasticity, margin impact, competitor response and what-if analysis are modelled before a price change reaches the shelf.
What makes this hard today.
Prices are set by rule of thumb, cost-plus, or by matching a competitor, and the consequence for volume and margin only becomes visible weeks later — mixed in with everything else that changed.
Elasticity assumed rather than estimated
Discounts granted without knowing the margin floor
Competitor moves matched without evaluating the trade-off
No way to test a scenario before committing to it
The cost of deciding blind.
Price is the fastest lever in the business and the one with the shortest feedback delay in the market but the longest delay in the reporting. A small unexamined change, repeated across an assortment, moves margin more than most efficiency programmes.
Pricing Intelligence
Veraius estimates how volume responds to price at product and segment level, then projects margin and revenue outcomes for a proposed change — including the scenarios where the market responds.
Elasticity estimation
Price response estimated per product and segment from actual history.
What-if simulation
Proposed price changes projected before they are applied.
Margin impact
Volume and margin effects reported together, not separately.
Competitor response
Outcomes evaluated under alternative competitor reactions.
Promotion profitability
Incremental lift separated from business that would have happened anyway.
Margin erosion detection
Where realised margin is drifting away from list, and why.
Connect. Understand. Predict. Decide. Act.
The same pipeline runs behind every solution: your systems are connected, the data is put in business context, the outcome is predicted, the decision is reasoned with its sources attached, and the result is carried into workflow.
ERP, POS, MES, WMS, CRM and IoT — into one place.
Operational data related and put in business context.
Demand, stock, production and performance, ahead of time.
Decision models and AI weigh the options with you.
Decisions executed through workflow and automation.
What changes in the way you work.
Price changes are evaluated before they are committed
Discount decisions carry a visible margin consequence
Promotional spend can be judged on incremental profit, not gross uplift
Margin erosion is caught while it is still a few SKUs
Where it is used in practice.
Price change review
Projected volume and margin outcome for a proposed change.
Promotion evaluation
Whether a campaign produced profit or merely discounted existing demand.
Competitive response
Options when a competitor moves, with the trade-off made explicit.
Margin leak investigation
Which products and regions are losing realised margin, and through which mechanism.
What your teams gain from Veraius agents.
Spend that follows return
Paid-channel spend is reallocated against ROI targets, and under-performing campaigns are flagged.
See the Marketing agents SalesDeals that do not go quiet
Stalled opportunities are detected and a next-best action is proposed; quotes stay inside your discount guardrails.
See the Sales agents FinanceCash you can see ahead
Liquidity and working capital are projected on a rolling 30-day horizon, so a shortfall shows up before it happens.
See the Finance agentsIn every department
- Agents prepare the work on your own data; your people approve what happens next
- Plain-language questions answered from live ERP data, with tables and interactive charts
- Grounding check: numbers that cannot be traced to a source are not shown
- Explainability, confidence and risk scores with decision rationale
- Slack, Teams, WhatsApp and Signal channels with an approval inbox
- Department-based access policy with personal data masking
Frequently asked questions
Straight answers about integrations, deployment, security and cost — including where the honest answer is "it depends".
Ask your own questionWhat does pricing intelligence decide?
When to change a price, by how much, and for which products — accounting for elasticity, competitor movement, inventory position and margin floor. The last two are what separate it from a repricing tool: a discount that clears stock you needed is not a good decision even when the price is right.
Does it simply match competitor prices?
No, and a system that does is a race to a margin nobody chose. Competitor price is one input among several. A competitor clearing end-of-season stock is not a signal to match; understanding why they moved is what makes the input useful.
How does it handle products with little sales history?
By borrowing from similar products rather than guessing. A new SKU in an established category inherits the elasticity of its neighbours until it has generated enough of its own signal, and the record says which products it borrowed from so a category manager can disagree.
Can we keep prices under human approval?
Yes, and most organisations should at first. Pricing is highly visible and hard to reverse in customer perception even when it is trivial to reverse in the system. Approval thresholds by magnitude — automatic under two percent, reviewed above it — are the usual middle ground.