Review how last season actually performed — what was bought, priced, exposed, and sold — to understand what truly worked and what did not.
Built for teams who need a clear, evidence-based view of past performance to improve future planning decisions.
Post-season reviews often rely on high-level sales results or subjective interpretation, making it difficult to understand whether outcomes were driven by demand, product decisions, pricing, or execution. As a result, teams risk drawing the wrong conclusions and repeating the same mistakes.
Hindsighting uses structured data analysis to replay the season as it actually unfolded. By separating demand signals from product and execution effects, Enstyle helps teams understand what truly influenced results, without oversimplifying performance into single metrics.
Hindsighting looks back at the season step by step — from buy decisions through pricing, exposure, and sell-through — to reveal what genuinely worked and where performance broke down. This allows teams to learn from reality, not assumption.
The full season is reconstructed using buy quantities, pricing actions, exposure, and sales data, creating a factual view of how performance unfolded over time.
AI analysis helps distinguish whether outcomes were driven by underlying demand or by decisions around pricing, allocation, and exposure.
Performance drivers are translated into clear learnings teams can apply to future assortment, pricing, and buying decisions.
Hindsighting gives teams the ability to look at past seasons with clarity and nuance. These capabilities help teams understand not just outcomes, but the reasons behind them, supporting better judgement in future planning cycles.
Review last season as it actually played out, tracking how buys, pricing, exposure, and sell-through interacted over time.
Understand whether performance issues came from weak demand or from decisions around pricing, allocation, or exposure.
See how pricing actions and markdown timing influenced sell-through, margin, and perceived demand.
Identify which products, categories, or options performed well for the right reasons, and which succeeded or failed due to execution effects.
Turn season results into concrete learnings that can be reused in future planning, rather than relying on memory or narrative summaries.
Hindsighting helps teams learn from the past without oversimplifying it. By separating demand from execution, teams gain clearer insight into what actually worked, reduce the risk of repeating mistakes, and make future decisions with greater confidence.
A growing collection of articles, newsletters, Threads, Wraps, product updates, and case studies — focused on how collections are planned, decisions are tested, and lines improve over time. Made for designers and merchandisers who want clear thinking, not noise.
