Traceable tender intelligence for lighting teams

Turn 200-page submissions into governed, defensible lighting matches.

HEIDITENDER reads tender dossiers, extracts structured requirements, applies governed rules, filters against real supplier catalog data, and ranks only products that actually exist.

Not a generic AI chatbot. A governed workflow for bid teams that need both speed and traceable justification.

pages per submission

200

Dense tender dossiers, specs, annexes, and product constraints.

manual search per project

3h

Spent crossing PDFs, spreadsheets, catalogues, and supplier portals.

day-one return

13x

On the first 100 submissions, the client cost is only a fraction of the saved engineering time.

Act 1 - The Problem / Act 2 - The Status Quo is Broken

Lighting engineers still stitch together bid decisions across documents, catalogues, portals, and memory.

A lighting engineer can spend three hours in front of a 200-page submission manually searching for matching luminaires. Repeat that across 50 projects a year and the hidden cost becomes 150 hours of expert time lost to manual search, endless cross-checking, and decisions that are hard to defend later.

Word filesExcel sheetsPDF cataloguesSupplier portalsHuman memoryEndless cross-checking

200-page

typical lighting submission

Specifications, annexes, norms, product schedules, and scattered supplier references.

50

projects per year

A realistic annual bid load for a firm running repeated manual search and checking cycles.

150h

expert time lost

Three hours per project becomes a recurring hidden cost at every tendering team.

What breaks today

Product data is fragmented, formats are inconsistent, and critical requirements often live in people's heads instead of a governed matching workflow.

Act 3 - The Innovation / Act 4 - The Technical Solution

Not a generic AI chatbot. A governed matching workflow for real lighting tenders.

The agent reads the submission, extracts requirements such as room types, lux levels, IP ratings, and norms, applies governed rules, and ranks products against the client's private rational database. The result is faster, more explainable, and more defensible bid selection.

01

Read the submission

The agent parses the tender dossier, annexes, and schedules into a structured starting point instead of leaving critical details trapped in long documents.

02

Extract structured requirements

Room types, lux levels, IP ratings, norms, controls, and other constraints are pulled into a machine-readable brief.

03

Apply governed rules

Explicit matching rules stay versioned, reviewable, and explainable so the workflow remains defensible for bid teams.

04

Match real catalog products

The system filters against the client's private rational database and ranks only products that actually exist in supplier data.

Why this matters

Every shortlisted product stays attached to the extracted requirement, the applied rule, the catalog evidence, and the final ranking logic.

Evidence Chain

Every recommendation arrives with a traceable justification.

Instead of a black-box answer, HEIDITENDER preserves the chain between what the tender asked for, which rule was applied, what the private catalog data actually contains, and why a product was ranked higher or lower.

Requirement

Structured tender brief

  • Room type: classroom
  • Target illuminance: 500 lux
  • IP rating: IP54
  • Norm: EN 12464-1
Rule

Governed matching logic

  • Hard: direct_ugr <= 19
  • Hard: ingress protection
  • Soft: efficacy and output
  • Soft: control compatibility
Catalog

Private database reality

  • Normalized supplier attributes
  • Only existing SKUs are considered
  • Client rational database stays private
  • Every filter remains inspectable
Ranked result

Defensible shortlist

  • Passes hard constraints
  • Soft score: 0.91
  • DALI match retained
  • Why ranked: glare + IP + control fit

Bid teams can explain why a product was kept, filtered out, or ranked lower without relying on memory or manual post-hoc reconstruction.

Act 5 - The Business Model

Immediate client ROI, with market economics that scale.

The client case is immediate: less expert time burned on manual product search and a better audit trail for bid decisions. At the same time, the market and revenue model are large enough to justify building a dedicated operating system for lighting tenders.

Client value

CHF 34'000

engineer time saved

Across 100 submissions.

CHF 2'500

client cost

Only 7% of the value delivered.

13x

return on day one

Immediate ROI once submissions start flowing.

Market and revenue

1'500

firms in Switzerland

Submitting lighting tenders annually.

150'000

submissions / year

Approximate market volume.

15'000

submissions at 10%

With roughly 150 clients in year one.

CHF 1'575'000

year-one total

Setup revenue plus usage revenue combined.

CHF 10'000 one-time database setup per client.

CHF 25 per submission processed.

From search to decision

Move from fragmented tender search to faster, more defensible bid decisions.

HEIDITENDER is designed for lighting teams that need speed, structure, and a justification trail they can stand behind when the bid decision matters.