BOM & Configuration Intelligence

Build better bills of materials. Optimize cost.Make them production-ready with AI.

INVO AI supports the whole bill of materials lifecycle — from component selection and unit cost optimization, through scrap factors and substitutes, to building production stages and generating production-ready work instructions.

INVO — bill of materials editor · Interceptor airframe

Components · 2,140 g airframe

Airframe shell
620 g
Motor set (4x)
480 g
Battery pack
760 g
Flight controller
95 g
Propeller set
120 g
Harness and fasteners
65 g

AI bill of materials analysis

Unit cost$2,150

4 optimization opportunities found

  • Swap the airframe shell for Supplier B's variant−$90 / unit
  • An alternative motor winding is qualified−$60 / unit
  • Layup scrap factor above similar buildsCheck 1.18 → 1.12

Potential unit cost

$2,150$2,000

AI workspace for bills of materials

From an idea to a bill of materialsthat is ready for production.

AI works directly inside the existing bill of materials editor — components, configuration variants, scrap factors, production stages and linked ECOs. No separate tool, no parallel database.

  1. Describe the build

    "Quad interceptor, 2.1 kg, 18 min endurance"

  2. AI drafts the bill of materials

    Components + quantities

  3. AI optimizes

    Unit cost + alternatives + scrap factors

  4. AI validates

    Conformity + export-control flags + requirements

  5. AI builds the process

    Production stages + component assignment

  6. AI drafts the instruction

    Work cell + tooling + process parameters

  7. Human approval

    Design / manufacturing engineer

AI unit cost optimization

AI looks for savingsin every bill of materials.

INVO analyzes the full component list, quantities, purchase prices, available substitutes and historical bills of materials to point out ways of lowering unit cost without rebuilding the bill of materials by hand.

Current bill of materials

Interceptor airframe

Unit cost: $2,150

Margin: 55.4%

AI found 3 opportunities

  • Airframe shell

    Currently
    $620 / unit
    Alternative · Airframe shell B
    $540 / unit

    $80 / unit

  • Motor set

    Currently
    $410 / unit
    Recommendation · Motor set B

    $50 / unit

  • Battery pack

    Current capacity
    6,000 mAh
    Similar builds
    5,200–5,600 mAh

    Check the capacity

Optimized unit cost

$2,150$2,010

Potential saving

$140 / unit

At 100 units

Potential impact $14,000

An indicative simulation of potential savings — the values are not a guaranteed result.

AI bill of materials creator

Describe the build.AI drafts the first bill of materials.

No starting from an empty table. A short description is enough to get a first, editable proposal.

Prompt

"Quad interceptor, carbon-fiber frame, 6S Li-ion pack. At least 18 min endurance. Takeoff weight under 2.2 kg."

AI picks components from the real components available in the INVO database — not from a generic component list.

Bill of materials generated by AI

Airframe shell
610 g
Motor set (4x)
470 g
Li-ion pack 6S
780 g
Flight controller + ESC
110 g
Propeller set
115 g
Harness and fasteners
70 g

Validation

Takeoff weight
2,155 g
Endurance
19 min
Unit cost
$2,060
Export-control flags
Flight controller · Motors

Scrap factors

Let AI recommendthe scrap factors.

Instead of entering every scrap factor by hand, AI can suggest values based on the component, the layup and cure method, historical bills of materials and previously approved values in the database.

AI recommendation

Recommended scrap factor: 1.18

Based on

Component
Airframe shell
Processing
Oven cure · 120 °C
Historical bills of materials
46
Typical range
1.14–1.21
Confidence
High

AI recommends — it never overwrites approved process parameters without confirmation.

Apply 1.18

Component and library intelligence

Find the best substitute,and keep the bill of materials library clean.

AI alternatives for: Airframe shell

For every component INVO can search the available component base and rank potential substitutes by cost, conformity, export-control flags, availability, supplier, material properties and historical use.

  • Airframe shell — Supplier B

    Same export-control flag profile

    98% match−7.4% cost
  • Hybrid glass/carbon shell

    Heavier by 60 g · bill of materials adjustment required

    87% match−18.2% cost
  • Forged carbon shell

    Different stiffness profile

    84% match−4.8% cost

Possible duplicates found

AI compares bill of materials names, components, quantities, conformity and process routes to point out assemblies that may already exist in the database.

You are creating

Interceptor airframe, 6S

  • Interceptor airframe 6S96% similarity
  • Interceptor airframe — Block 191% similarity
  • Interceptor airframe XL88% similarity

The benefit isn't just one fewer record — AI helps keep bill of materials master data ordered and consistent.

AI production technology

Turn a bill of materialsinto a production process.

AI analyzes components, quantities, process requirements and the production environment to propose the production stages needed to build the unit.

Interceptor airframe — production stages (AI proposal)

  1. 01

    Kitting

    Prepreg → cut plies to the nesting plan · Hardware → kit per serial number

  2. 02

    Layup

    Plies → lay up in the mold · vacuum bag, leak check

  3. 03

    Cure

    Carbon fiber → cure oven, cycle recommended from the configured process

  4. 04

    Electronics prep

    Flight controller + ESCs + harness

  5. 05

    Final assembly

    Mount the prepared sub-assemblies

  6. 06

    Flight test

    Acceptance flight · 2.1 kg

  7. 07

    Packing / dispatch

    Assign the configured packaging and delivery lot

AI knows at which stage each component enters

Once the stages are generated, every component is assigned to the steps where it is actually used.

Carbon fiber
Kitting · Layup · Cure
Motor set
Kitting · Final assembly
ESCs
Electronics prep
Flight controller
Electronics prep · Final assembly
Propeller set
Final assembly · Flight test

The bill of materials stops being a list of components. It becomes a work instruction for building the product.

Production instructions

Generate production-readyinstructions automatically.

From the approved bill of materials and production stages, AI can prepare a draft work instruction for the production team — in the context of a specific plant.

Plant context used

  • Available machines and production lines
  • Cure ovens / CNC / test rigs and their capacities
  • Available machine programs
  • Plant standards
  • Approved procedures

Work instruction — draft

Stage 03 — Carbon fiber cure

Machine
Cure oven 04
Batch
80 kg
Preparation
Vacuum-bag the laid-up parts and run a leak check.
Process
Apply the approved cure cycle for this product and oven load.
Quality control point
Verify the configured critical process parameters before handover to the next stage.

AI uses approved process parameters, equipment specifications and plant procedures. The model's own knowledge is treated as support when preparing a proposal — never as a source of airworthiness parameters. Every instruction requires human approval.

Configuration optimization

Optimize one bill of materials —or the whole configuration.

A level above a single bill of materials: AI analyzes hundreds of bills of materials at once against material cost, conformity, component availability, waste, production capacity, purchasing requirements and margin.

Current weekly build mix

AI-optimized scenario

Material cost

$0.95 M

$0.92 M

Components at risk

14

5

High-complexity production days

3

1

Potential difference

$30,000 / week

An indicative simulation of potential savings — the values are not a guaranteed result.

Business impact

Where the P&Lactually comes from.

The effect shows up in unit cost, in the time of the engineering team and in the repeatability of production.

Material cost

Systematic optimization of bills of materials and substitutes instead of one-off corrections after the period closes.

$80K–850K / year

Design and manufacturing engineering time

The first version of a bill of materials, the scrap factors and the stages arrive as a proposal to approve.

30–50% shorter bill of materials creation

Process standardization

Production stages and instructions in one consistent format across the plant.

fewer execution variances

Master data order

Detecting duplicates and variants limits the growth of the bill of materials database.

fewer records to maintain

Indicative values for production at $14–55M revenue scale — an illustrative simulation, not a declared result.

BOM & Configuration Intelligence

See bill of materials Intelligenceon your own bills of materials.

Book a walkthrough: from a description of the build, through cost optimization, to a work instruction for production.