Inside the Kit Builder

Technical · 7 min read

Inside the Kit Builder

ROKVEN Team20 March 2026

How the Loadout Engine Thinks

The ROKVEN loadout engine is, at its core, a constrained knapsack optimiser. Given a set of gear items, a target environment, and a weight budget, it selects the combination of items that maximises total performance while staying within your carrying capacity. But unlike the textbook knapsack problem, real-world gear selection involves nuance that simple weight-value tradeoffs cannot capture. Here is how we handle that complexity.

The Scoring Model: Four Axes

Every gear item in the ROKVEN database is scored across four axes: protection, weight efficiency, versatility, and durability. Protection measures how well the item shields you from environmental hazards — waterproofness, wind resistance, insulation value, UV blocking. Weight efficiency captures the performance-per-gram ratio — a 200g jacket that delivers 80% of the warmth of a 400g jacket scores higher on this axis. Versatility reflects how many conditions and activities the item serves well. And durability estimates the item's useful lifespan under hard field use, measured in seasons rather than years.

Environment-Weighted Scoring

Raw scores alone do not tell you what to pack. A lightweight rain jacket scores identically whether you are heading to the Sahara or Scotland, but its value to you differs enormously. The engine applies environment-specific weight multipliers to each scoring axis based on your selected destination profile. For a wet, cold environment like the Scottish Highlands, the protection axis might receive a 1.8x multiplier while weight efficiency drops to 0.7x — you need gear that works, not gear that is light. For a fast-and-light alpine push in the Dolomites, weight efficiency might spike to 1.5x while durability drops to 0.6x. These multipliers reshape the scoring landscape so the optimiser naturally favours the right gear for your specific mission.

Weight Penalties: The Diminishing Returns Curve

The engine applies a non-linear weight penalty that models real human performance under load. The first 8kg of pack weight incurs minimal penalty — your movement speed and decision-making are essentially unaffected. From 8-15kg, penalty increases linearly at roughly 2% per kilogram. Above 15kg, the penalty curve steepens sharply, reflecting the exponential increase in fatigue, injury risk, and reduced agility. This penalty is subtracted from the total score of any candidate loadout, creating a natural pressure toward lighter solutions. The engine will not suggest a 20kg loadout unless the performance gain genuinely justifies the physiological cost.

Constraint Satisfaction: Hard Rules

Beyond the soft optimisation of scores and weights, the engine enforces hard constraints. Every loadout must include at least one item from each core category: shell, insulation, baselayer, footwear, and pack. If you select a glaciated environment, crampons and an ice axe become mandatory regardless of weight budget. If overnight temperatures drop below -5°C, a sleeping system meeting the EN comfort rating for that temperature is required. These constraints act as guardrails — the optimiser cannot trade safety for weight savings.

The Output: Ranked Alternatives

Rather than producing a single "optimal" loadout, the engine returns the top three solutions ranked by adjusted score. This gives you visibility into the tradeoff space. The top-ranked loadout might save 400g over the second by swapping a Gore-Tex Pro shell for a lighter Gore-Tex Active model — but you can see exactly what protection you are giving up. This transparency is intentional. The engine advises; you decide.