How RT7 Replaced Blanket Cost Cuts With Precision, SKU-Level Decisions
Overview
Faced with a remit to improve efficiency, most wholesale operations reach for the easiest tool available: a standardised rule applied across the catalogue. It saves time, but it also starves high-performing SKUs and ignores the deeper inefficiencies hiding in low performers. RT7 took the opposite approach. Rather than applying broad rules, RT7 built a single SKU-level view that combined performance signals to surface the precise places to cut and the precise places to invest. The brand stopped following an outdated playbook and started optimising for actual results — protecting growth while removing the waste that one-size-fits-all strategies routinely overlook.
The Challenge
The brand was facing pressure to improve efficiency and was operating on standardised category-level rules — the same logic applied across very different SKUs. The approach was simple to administer but blunt in execution. Cuts landed indiscriminately, and the rules could not adapt as the catalogue's reality shifted underneath them.
The Barrier: Standardised rules treating high-performing and low-performing SKUs as if they were the same.
The Risk: "Sledgehammer" cuts starving profitable products while leaving genuinely wasteful ones untouched.
The Goal: Replace a rigid, blanket playbook with a precision, evidence-led approach that cuts waste exactly where it lives and protects investment exactly where it works.
Strategic Objectives
RT7 set three priorities to move the brand from broad rules to precision decisions:
SKU-Level Truth — establish a single, evidence-led view of each product's actual contribution rather than relying on category averages.
Surgical Cost Reduction — identify the specific SKUs and operational areas where cuts would remove waste without touching growth.
Protected Investment — ringfence the high-performing parts of the catalogue from broad-brush efficiency drives that would otherwise damage them.
Strategic Execution & Implementation
The work centred on a single principle: every SKU has its own story, and the cost decisions that follow should reflect it.
1. Consolidated Performance View
Storage duration, unit economics, and sell-through were brought into a single SKU-level lens. Instead of judging products against a category-wide rule, each one was evaluated on its own evidence — what it actually costs to hold, how quickly it actually moves, and what it actually contributes.
2. Differentiated Action Plans
Different SKUs received different treatment. Items with strong unit economics and healthy sell-through were protected and, where appropriate, given more support. Items with deep, structural inefficiencies were addressed directly rather than dragged along by averages. The same operating principle, applied at SKU level, produced different decisions for different products.
3. Adaptive Decision-Making
The framework was built to update as the catalogue's reality changes. Performance trends shift, seasonality moves the picture, and new SKUs enter the mix. An evidence-led model adapts; a static rule does not.
Implementation
RT7 worked across operations, finance, and account management to align on a single SKU-level view and the action plan that followed. The implementation was structured to deliver early wins on the most damaging inefficiencies first, while building the longer-term framework underneath.
The Results
The brand stopped paying for blunt cuts. Waste was removed where it actually lived, growth was protected where it was already working, and the operating logic became responsive to the catalogue's real performance rather than an outdated category-wide rule.
High-performing SKUs protected from blanket cuts | Sustained |
Structural inefficiencies addressed at SKU level | Phased |
Operating logic shifted from static rules to adaptive decisions | Embedded |
Cost decisions defensible with evidence rather than habit | Sustained |
Conclusion & Future Outlook
The lesson: efficiency is not a setting you apply to a whole catalogue, it is a decision you make at SKU level. By replacing standardised rules with an SKU-level evidence base, the brand stopped sacrificing growth in the pursuit of speed. Going forward, RT7 will continue to expand the data inputs that feed the framework — pulling in additional signals as they become available — so that the precision improves with every cycle. Broad rules are easier to write down. Precision decisions are what actually protect long-term profitability.
