AI unit price analysis: accurate APUs adapted to your region

What does AI bring to unit price analysis?

Building a complete unit analysis takes time: identify inputs, estimate yields, find material and equipment prices, align units. Artificial intelligence speeds up that initial work by proposing a structure consistent with the activity, job type and project location.

In CoPres, generating a unit analysis with AI does not replace the estimator: it delivers an editable draft with materials, labor and equipment you can adjust, link to the catalog and recalculate instantly.

APUs adapted to region and project context

The same concept—block wall, concrete slab, electrical rough-in—changes in composition, yield and price by country, city, codes and local supply. CoPres uses project location when generating unit analyses with AI.

• Currency and symbol aligned with project country.
• Measurement units common in the region (m², m³, man-day, etc.).
• Input descriptions recognizable in the local market.
• Consistency with job type defined in the estimate.
• Editable output to fine-tune your company assumptions.

Market-oriented pricing

CoPres can use market search to propose unit prices closer to reality than a generic list alone. That cuts initial research time, especially on tenders with many activities to detail.

As with any assisted estimate, proposed prices are a starting point: cross-check with your material lists, regular supplier quotes and recent job experience before submitting.

Recommended flow: generate, review, standardize

Maximum value comes when you combine AI generation with your own libraries: AI opens the unit analysis; your catalog sets criteria; the team validates once and reuses on future jobs.

• Generate the unit analysis with AI from the estimate line item.
• Review quantities, yields and units for each input.
• Replace prices with quotes or updated company lists.
• Save representative inputs and APUs to the library for reuse.
• Export the estimate with unit analyses when the client requires it.

When to use AI vs library templates

For repetitive activities in your portfolio—typical finishes, standard MEP, recurring site works—cloning a library unit analysis and updating prices is often faster. For new line items, atypical scope or tight deadlines, AI generation saves hours of initial setup.

CoPres lets you mix both approaches in one estimate: precision where you have history, speed where you need to explore composition and cost.

CoPres: smart unit analyses inside the estimate

CoPres is AI for construction: assisted estimates, Excel import, material catalogs and unit analyses generated with regional context—all in one continuous flow without isolated spreadsheets.

Try generating unit analyses with AI on a real tender: measure how much time your technical team recovers and how much cost traceability improves on activities that used to carry only a lump-sum price.