Advisor
Rank & shortlist appliances by your priorities
Pick a category, set a budget, weight what matters, capacity, energy efficiency, noise, price, and the field is ranked by a fit score. It is the same weighted multi-criteria approach (MCDA / SAW) used in real product-selection, run over manufacturer data.
Guidance only. Fit scores reflect the public manufacturer specs published here and the weights you set, not hands-on testing, household constraints or retailer terms that decide real purchases. Always verify against manufacturer sources.
How the Advisor works
The Advisor applies multi-criteria decision analysis (MCDA), specifically a weighted additive model (SAW). Every candidate in a category is normalised against its peers, weighted by your priorities, and ranked by the resulting fit score.
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Pick a category
Choose the appliance category you are shopping for: washing machines, refrigerators, dishwashers and more.
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Set your budget and priorities
Set a max budget and how much capacity, energy efficiency, noise and other specs each matter, or apply a preset like Energy saver or Tight budget.
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Read the ranked shortlist
Every appliance in the category is normalised and scored, returning a fit percentage with the specs each option is strongest on.
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Compare the finalists
Tick two to five options to open a full side-by-side spec sheet for your down-select.
What the score is built from
Direction-aware normalisation
Higher-is-better specs (capacity, runtime) and lower-is-better specs (energy use, noise, price) are each scaled 0 to 1 within the category.
Your weights
Importance sliders (0 to 5) or presets set how much each factor counts.
Data coverage
A light penalty stops a sparsely-documented appliance from topping the list on one lucky spec.
Category-relevant criteria only
Each category exposes only the specs it actually has public data for, washing machines show spin speed, fridges show climate class.
Frequently asked questions
How do I choose between two similar appliances? +
Define your priorities as weighted criteria: capacity, energy use, noise, price, then score each candidate against those weights. The CompareHomeAppliances Advisor does this automatically for every appliance in a category using a weighted additive (SAW) model, the standard multi-criteria approach used in real product-selection.
What is a "fit score"? +
A fit score is a 0 to 100% rating of how well an appliance matches the priorities you set. Each spec is normalised against the rest of its category (best value in the set scores highest, worst scores lowest), multiplied by your weight for that criterion, and summed. A higher fit score means the appliance better matches what you said mattered, not that it is objectively best.
Which specs matter most when choosing a washing machine? +
Shoppers typically weight capacity (does it fit your household laundry load), energy class and energy per 100 cycles (running cost), spin speed (how dry laundry comes out), and noise. The Advisor exposes exactly the criteria that have public data in each category, so washing machines, fridges and vacuums each show their own relevant factors.
Should I set a budget before or after weighting priorities? +
Either order works, the Advisor applies your budget as a hard filter and your weights as a ranking on whatever remains. Setting a realistic budget first often narrows the field enough that the weighted ranking becomes a genuinely short shortlist.
Does the Advisor account for installation, delivery or trade-in cost? +
No. It ranks on published specifications and typical price only. Real purchases also turn on delivery cost, installation, old-appliance removal and retailer promotions, which must be confirmed with the retailer. Use the Advisor to build a shortlist, then take finalists to a retailer for a final quote.
Is the ranking authoritative? +
No. It is decision-support guidance built from public manufacturer data and the weights you choose. It does not include hands-on testing, household-specific constraints, or retailer terms that decide real purchases. Always verify against manufacturer sources.