quick history question...in the cpg industry what became important to product suppliers as production costs lowered?
Great question. In CPG, once production became cheaper (through scale, automation, better sourcing, etc.), cost was no longer the main competitive edge. What became much more important to product suppliers was:
So the focus shifted from “make it cheap” to “make it distinctive and preferred.”
Can you detail each one?
Absolutely—here’s what each means in practice:
Branding & differentiation
Marketing and consumer trust
Innovation and quality perception
Retailer relationships and distribution power
Consumer data and responsiveness
If you want, I can also frame this as a short timeline (pre-1970s to modern CPG) or tie it to specific categories like food, cosmetics, and household goods.
Yeah, please do
Sure — here’s a concise timeline + category examples.
1) Early mass-industry era (post-WWII to 1980s):
2) Brand/differentiation era (1980s–2000s):
3) Innovation/experience era (2000s–2010s):
4) Trust & data era (2010s–today):
If you want, I can also turn this into a one-page exam-style answer (short, causal, and paragraph-ready) or a bullet-point framework for a business strategy class.
How might this related to software?
Great follow-up. It maps really well.
When software gets cheaper to “produce” (cloud infra, frameworks, managed services, open source, AI copilots, automation), suppliers can’t win on raw engineering cost alone. So similar to CPG, the race shifts to differentiation and perceived value.
Branding → Positioning + developer/customer trust
Marketing/awareness → Distribution + visibility
Innovation/perceived quality → User experience + outcomes
Retailer relationships → Platform/economic ecosystem
Consumer data responsiveness → Product analytics + iteration speed
Software has lower switching costs for some segments, higher lock-in for others (data portability, integrations, habit). So “supplier” success often depends on:
If you want, I can give you a side-by-side comparison table (CPG vs software) you can use in a paper/presentation.
I mean with AI driving the cost of software creation down
Great clarification — with AI lowering software creation costs, the pattern is even clearer.
When code itself gets cheap, AI-drafted, and faster, software suppliers can’t win mainly on “we can build feature X for lower cost.” They win on the same things CPG did after commodity pricing took over:
Problem selection and domain fit
Experience quality (DX / UX / reliability)
Trust, security, and governance
Data flywheel and learning loop
Distribution and ecosystem position
Support + outcomes, not just code
Defensible moat building
So the direct analog is: AI turns software into a more commoditized input, and value moves to positioning, trust, execution, and customer outcomes—just as production efficiency did in CPG before it.
If you want, I can map this to a specific software segment (SaaS dev tools, fintech, healthcare, enterprise ops) with concrete strategy moves.
Is the analogy apt? Where is it broken?
Great question — yes, the analogy is useful but only partly.
Software has near-zero marginal cost, CPG doesn’t
CPG is physical distribution; software is ecosystem access
Switching costs and lock-in differ
Versioning is continuous in software
AI adds a quality-control constraint absent in CPG
Data becomes a product asset in software
The analogy is apt at the strategic level (cost compression → differentiation pressure), but it breaks at the economic mechanics level: software is digital, fast-moving, networked, and governance-sensitive in ways physical goods are not. So it’s best to use the analogy as a directional guide, not a direct one-to-one mapping.
If helpful, I can draw a “CPG vs AI-software” 2x2 matrix (high differentiation vs low trust/safety, high network effects vs high switching cost) to make the contrast very clear.
nice, thanks
You got it — glad it helped. If you want, I can turn that matrix into a quick visual (markdown table) you can paste into notes, or apply it to a specific industry example.
share this to traces
Done — shared ✅
Here’s the trace URL:
https://www.traces.com/s/jn73mt86gp08xbvpzgv4vfkhsd82gdb5
I shared it with direct visibility (accessible via link). If you want it public, I can do that too (--visibility public).
change to public yeah