Optimised SKU and customer prices for distributors, manufacturers and industrial suppliers, with the first price file in market within 8–12 weeks.
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Price optimisation uses your own sales history to set the right price for each product and customer segment. It replaces blanket increases, cost-plus rules and rep-by-rep discounting with prices that reflect what each segment will pay, and the margin each sale needs to make.
For a business with thousands of SKUs and customers, the result is a price file: a new set of list, net and floor prices that can be loaded into your ERP or quoting system.
Project Blackbird is our price optimisation service. It runs in five stages, from data review and segmentation to an optimised price file. The first file is usually in market through a pilot within 8–12 weeks. Full deployment across a large range then takes 6–12 months, in waves, so each wave is tested before the next.
An optional update contract keeps the price file current as costs and markets move.
Selected results from Pricing Insight engagements.
Bunzl replaced cost-plus pricing across 18,000 SKUs, lifting gross margin by 800bps on targeted SKUs (A$5.7m EBIT) within 12 months while retaining 98.3% of customers.
Staples (then Corporate Express) generated A$6.8m of gross profit within 12 months on A$80m of addressable revenue through algorithmic price optimisation.
Toll Group modelled A$8.4m of year-one EBIT uplift on A$1.1b of revenue through algorithmic pricing, new approval workflows and value-linked customer agreements.
What data do you need? Usually 24 months of invoice-line sales history, with costs, plus your current price lists and discount rules.
Will we lose customers? Prices are tested by segment before full rollout. Bunzl retained 98.3% of customers while lifting gross margin by 800bps on targeted SKUs.
Do we need pricing software? No. The price file loads into your existing systems. If you later buy a pricing platform, the segmentation and price rules carry across. See pricing software vs price optimisation consulting.
A 30-minute call is enough to tell whether your sales data supports a price optimisation project.