Retailers, Wholesalers, and Manufacturers who price and re-price thousands – millions of product, market, and customer combinations can’t get every price right.
- Price-pack-architecture broken
- Price undersells value to customer
- Overpriced relative to market
- Low stock levels – will sell out at current price
2-8%
of Gross Profit
remains locked behind inconsistent, stale, and non-market relevant prices
Resolve experience on businesses with GM between 10-30%
Today’s dynamic markets reward pricing teams that can pivot and re-price quickly
Getting the price “right” is a continuous process, not point-in-time analytics leading to a single decision.
- Vendor costs change8k Products
- Excess Inventory3k Products
- Y-o-Y sales down 20%1k Products
- Category Margins down 5%2k Products
- Xmas Season7k Products
Questions for Pricing Teams
- 1.How many pricing triggers do you monitor and act upon?
- 2.What economic signals do you use when re-pricing?
- 3.How do you model different scenarios before going live?
- 4.How do you evaluate and learn from past decisions?
If the answer is “not enough” or “we don’t” – Resolve can help
Resolve is off-the-shelf software that makes pricing faster, smarter, and easier to manage
Three modules that empower pricing teams to make more sophisticated decisions and reduce systems complexity.
Maintain
Consistent semantics so AI / human set prices always make business sense
- Common data dictionary and relational rules to ensure prices stay logical, consistent, and sensible to the customer
- The layer that differentiates professionals from amateurs – this underpins the ability to execute fast price changes with AI
Automate
Write pricing strategies as automatable, auditable workflows
- Enables users to re-purpose time from administering changes to defining strategy
- Forecast the revenue / profit impact before publishing changes
- Ships with a library of workflows for common pricing triggers (e.g. tail product optimisation, inventory management)
Improve
Attribute results to specific decisions – kill poor performing prices and build on successes
- Every price can be audited to the exact decision used to set it
- Baseline-vs-actual shows which decisions worked, and which to retire
- Trigger
- what triggers a pricing event and which products are affected?
- Decisions
- how do our responses differ based on economic signals?
- Paths
- how many (and which) products have been affected?
- Actions
- what happens to prices?
- Evaluate
- based on historical data, what’s the forecasted impact of each decision path?After new prices are set, evaluation switches to what actually occurred.
Node Logic – The logic of each node is written in SQL. This guarantees deterministic results and makes the application extremely portable (export logic from Resolve at any time).
1select2 price_dimension_id,3 competitor_price < current_list_price_gold as result4from pricing.price_attributeResolve can land a real GP impact by improving the way you make, evaluate, and iterate pricing decisions today
Beyond software implementation, our experienced pricing operators and data scientists work with your teams to elevate your level of pricing maturity using a three phased approach.
- 01
Identify how prices change today. Formalise informal logic / rules into systematic decision trees
- 02
Make more nuanced, targeted decisions using better data, signals, and economic models
- 03
Change prices, evaluate outcomes, and set a process for continuously improving pricing decisions
- keepLightssensitive → hold GPΔ Revenue+3.1%Δ Profit+0.8%
- keepPartsnot sensitive → increase marginΔ Revenue−0.8%Δ Profit+6.4%
- revisitAggregatesnot sensitive → increase marginΔ Revenue−9.2%Δ Profit−3.5%
Resolve turns pricing into a continuous improvement process
Not just machine-learning, feedback is raised to pricing users to nurture better decision makers
- 1
Re-price — review and re-price whole portfolios with decision trees built on economic signals
- 2
Forecast — estimate the impact from your own sales history before any change goes live
- 3
Publish with context — every price goes out stamped with the decision path and objective that set it
- 4
Evaluate — measure results against baselines and attribute outcomes to the specific decisions that drove them
- 5
Learn — keep the decisions that worked, drop the ones that didn’t, and start the next cycle smarter
Translating pricing investments to ROI
Businesses that invest in modern pricing infrastructure deliver multiple percentage points of margin improvements above their industry peers. This is not just Resolve’s experience (2-8% Gross Profit Uplift) but consensus from the pricing industry.
Importantly, not all pricing strategies target profit. Investing in price to gain share or hitting supplier rebate targets trades profit for sales. However, an effective pricing strategy adds equity value by improving the forward outlook of the organisation.
This ROI comes from
Kill underperforming prices faster
- Ineffective promotions
- Over-priced products creating bad customer perception
- Under-monetisation of tail products
Make more nuanced decisions
- Cross-pollinate good decisions from one category / location to another
- Consider additional supply / demand factors when setting prices (inventory, competitor, seasonal trends)
- Specific strategies on sub-categories and sub-regions, not one-size-fits-all
Accrue additional weeks of benefits by faster execution
Simply acting faster will result in additional days/weeks of returns for a pricing strategy
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