BiSemA — Pitch Deck
Unlocking manufacturer adoption by turning product data into execution infrastructure.
Cloud SaaS (AWS)
Manufacturers + Dealers
Structured Data → Distribution
Challenge: manufacturer access
Purpose: Provide context for advisory review and outline the challenge we are solving.
Problem
Adoption Barrier
Insight
Platform
Wedge
ROI
Why Now
Traction
The Challenge
Advisory Ask
Vision
Contact
1) The Problem
The furniture industry does not have a technology problem. It has an execution + distribution problem .
Manufacturers struggle with
Fragmented product data (PDFs, spreadsheets, email threads, legacy systems)
High cost + friction to maintain catalogs inside existing ecosystems
Slow dealer enablement and inconsistent updates
Limited visibility into how products are specified and sold
Result
Digitally present , but operationally blind
Errors → rework → delays → late discounting
Data chaos blocks automation and AI
Core issue: manufacturers cannot scale distribution without structured, governed data.
2) The Adoption Barrier
Why manufacturers are hard to reach and slow to move—even when they feel the pain.
Lock-in
Deep dependence on existing specification/catalog ecosystems
Fear of workflow disruption
Switching Cost
Catalog engineering is expensive
Data is scattered and inconsistent
No Safe On-Ramp
No low-risk entry path to modernize inputs
ROI is hard to prove without a pilot
This is the challenge we want to solve with advisory support: opening manufacturer doors and converting interest into pilots.
3) Our Insight
Manufacturers don’t need “another platform.” They need an execution layer that sits under their existing tools.
BiSemA does not replace existing ecosystems
We standardize inputs (structured product data)
We govern changes (versioning + audit trail)
We distribute outputs to downstream channels
Simple framing
BiSemA feeds the ecosystem.
We create structured data once, then distribute everywhere—faster, cheaper, and consistently.
5) The Wedge Strategy (How We Get In)
We don’t ask manufacturers to change systems. We ask them to change inputs .
Low-Risk Entry Point
Immediate Value
Why It Works
Structured catalogs from Excel Fast Onboarding
Reduce manual catalog engineering and update cycles
Minimal disruption; converts messy data into governed structure
Digital price list automation Publish-ready Outputs
Faster dealer-ready pricing + fewer errors
Clear ROI; creates demand for structured data
Dealer enablement portal Controlled Distribution
Release options/finishes/pricing by dealer group/region
Manufacturers regain control of distribution
Validation rules Prevent Invalid Combos
Fewer errors and downstream rework
Margin protection is a high-trust value prop
6) Why Manufacturers Care (ROI)
Operational ROI
Reduce catalog engineering cost and update cycles
Improve pricing accuracy and quoting speed
Increase dealer enablement consistency
Strategic ROI
Visibility into product usage and specification trends
Structured data foundation for automation and AI
Better control over distribution and governance
This is not “IT spend.” It is margin protection + distribution infrastructure.
7) Why Now
Margin Pressure
Errors and rework are harder to absorb
Manufacturers need cleaner execution
Dealer Expectations
Faster updates and more accurate data
More self-serve enablement
AI Requires Structure
Unstructured PDFs do not scale
Structured data is the unlock
The industry is ready for the infrastructure layer—because the cost of manual execution is now visible.
8) Traction / Reality
BiSemA is built and execution is underway.
Built
Core platform modules implemented
Structured product data templates and outputs
Cloud-first architecture on AWS
In Motion
Active industry conversations and relationship-building
Clear pilot path: 1 manufacturer + dealer enablement
Continuous roadmap execution and iteration
This is not an idea. It is an infrastructure product seeking the right manufacturer entry points.
9) The Challenge (Explicit)
Our primary challenge is manufacturer access and converting long-cycle relationships into a fast pilot.
What makes it hard
Legacy inertia and long decision cycles
Multiple stakeholders (sales, ops, IT, dealer network)
“We already have a system” default response
What we need
Warm introductions to the right manufacturer decision-makers
Pilot structure that reduces perceived risk
Messaging that frames BiSemA as infrastructure, not replacement
10) Advisory Ask
We are seeking advisory alignment first (capital second).
Access
Introduce BiSemA to manufacturers who feel this pain
Help identify the first 1–2 pilots
Strategy
Refine wedge and packaging
Make ROI undeniable and fast
Execution
Pilot governance and success metrics
Partner pathway for expansion
Goal: relationship → pilot → expansion → ecosystem distribution.
11) Vision
BiSemA becomes the execution layer for the furniture industry:
data is created once, governed centrally, distributed everywhere, and measured continuously.
Long-term
Manufacturer data infrastructure at industry scale
Dealer execution workflows powered by clean data
Analytics + AI on top of structured catalog behavior
One-line
Netflix for furniture data distribution.
Salesforce for furniture execution.
BiSemA Corporation • Cloud-Based Office Furniture Specification Services