▸ Inventory × Pricing × Marketing × Revenue — connected
▸ Every tradeoff quantified. Every risk explained.
▸ Decision ops for mid-market operators
▸ Not a dashboard. A decision system.
▸ PhD-grade optimization. Human-grade clarity.
▸ Inventory × Pricing × Marketing × Revenue — connected
▸ Every tradeoff quantified. Every risk explained.
▸ Decision ops for mid-market operators
▸ Not a dashboard. A decision system.
▸ PhD-grade optimization. Human-grade clarity.
Decision Intelligence

Your decisions
are disconnected.
Ours aren't.

NexoviaNet links inventory, pricing, marketing, and revenue into one system — where every tradeoff is quantified, every risk is a number, and your team moves together.

Book a Demo Intro Call
Input Layer
Inventory position + demand signal + margin floor
stochastic model real constraints
optimize
Decision Layer
Pricing strategy linked to inventory + marketing timing
tradeoff visible risk scored
simulate
Scenario Layer
3 scenarios stress-tested against your risk tolerance
what-if confidence interval
recommend
Action Output
Recommended action + cost of inaction + next trigger
explainable repeatable
Lluvia Jing
Lluvia (Wei-Jia) Jing

Founder & CEO · PhD Industrial Engineering, Northeastern · Former: Fidelity AI, Hitachi Industrial AI, USAID

6+
Yrs Research
3
Enterprise Deployments
2
Publications
The System

Not a dashboard.
A decision
operating system.

Most tools optimize one function in isolation. Demand forecasting doesn't know your pricing strategy. Pricing tools don't know your inventory position. Marketing tools don't know your margin tolerance.

NexoviaNet treats them as a chain — because that's how real decisions work.

01
Connect
Link inventory, pricing, marketing, and revenue signals into one shared model.
Integration
02
Optimize
Run optimization across your real constraints — not a generic template.
OR + ML
03
Stress-Test
Simulate scenarios against your explicit risk tolerance before committing.
Stochastic
04
Decide
Get a clear recommendation with quantified tradeoffs — explainable to any stakeholder.
Action-Ready
⟁
Tradeoff Quantification
Every decision is shown as a tradeoff — not a recommendation you have to trust blindly. See cost, risk, and opportunity side by side.
◈
Risk in Numbers
No more "medium risk." Risk is expressed as probability, confidence intervals, and dollar impact — so your tolerance can be an input, not a guess.
⊞
Cross-Functional Linking
Inventory and marketing finally share a model. A promotional push and a stock level become part of the same optimization.
↻
Repeatable Decision Ops
Not a one-time report. A system your team runs repeatedly — so planning moves from spreadsheets to a standard operating process.
◎
Explainable to Stakeholders
Built for operators, readable by executives. Every output is designed to be presented — not decoded.
⬡
Calibrated to Your Business
Your margin floor, risk tolerance, and operational constraints are inputs — not assumptions baked into a generic model.
Who It's For

Built for
operators
who own
the outcome.

01
COOs & VP Operations at mid-market companies ($20M–$200M) who make inventory, pricing, and capacity decisions weekly — and feel the cost of getting them wrong.
→
02
Strategy & Planning Teams stuck in spreadsheet hell — running scenarios manually, losing hours to "what if" analyses that still don't give clear answers.
→
03
E-commerce & Consumer Goods operators where pricing, promotions, and inventory interact constantly — and a misaligned call costs real margin.
→
04
Companies post-BI tool — you have data, you have dashboards, but you still can't answer: "given all of this, what should we actually do?"
→

Ready to make
your first connected
decision?

We're working with a small group of mid-market operators to run the first pilots. If your team makes decisions across inventory, pricing, and marketing — and you want to do it with numbers instead of gut feel — let's talk.

Book a Demo 30-min Intro Call
nexovianet@gmail.com  ·  Boston, MA