We speak in plain language. No jargon, no fluff — exactly like the simple answers our AI gives to business owners every day.
CIS 4399 / Final Project Pitch
⬡StockSense AI
Never run out.
Never over-order.
Always ahead.
An AI-powered inventory assistant built for small business owners—restaurants, cafés, and retail shops—who need smarter stock management without enterprise complexity.
SMBTarget market
AIDecision support
SaaSRevenue model
WebApp platform
STOCKSENSE / INVENTORY TELEMETRY● LIVE
⚠ AI ALERT / Flour (5lb) projected stockout in ~2 days.
Flour (5lb)12 unitsLOW
Coffee Beans68 unitsOK
Paper Cups35 unitsWATCH
Sugar Packets200 unitsOK
AIReorder flour now. At current sales rate, stock is projected to run out in ~2 days. Suggested order: 50 units.
Problem / Signal loss
Inventory problems are operational problems.
The original pitch focused on four recurring pain points for small businesses relying on manual counts, spreadsheets, and intuition.
RISK / 01
SELECT A RISK NODE TO INSPECT THE FAILURE MODE.
Solution / Product logic
AI that speaks inventory—simply.
StockSense AI is a web application that connects directly to a business's POS data and acts as an intelligent inventory monitor. It doesn't just track numbers — it understands patterns, predicts what's coming, and tells you what to do next in plain language.
Value proposition
"For small business owners without technical expertise who need an easy way to track inventory quantities — StockSense AI automatically monitors stock levels, predicts shortages, and reduces inventory errors so your business never skips a beat."
01
Connect POS data
Inventory and sales records become the system's live operating input.
02
Normalize + monitor
Stock levels, reorder points, and product activity are structured for consistent analysis.
03
Forecast + detect
Patterns reveal possible stockouts, low-stock conditions, and unusual inventory behavior.
04
Explain the next action
The interface returns alerts and recommendations in plain language for the business owner.
72%
64%
55%
Healthy ≥ 40%
Watch 25–39%
Low < 25%
Reorder threshold
Core features / 06
Six signals. One inventory system.
Choose a feature to inspect what role it plays in the larger StockSense concept.
FEATURE / 01
Workflow / 03
Connect. Learn. Stay ahead.
The customer experience was designed around a simple three-step setup, avoiding enterprise-style complexity.
01
Connect Your POS
Link StockSense AI to your existing point-of-sale system. Our guided setup wizard walks you through everything in minutes — no technical knowledge needed.
02
AI Learns Your Business
StockSense analyzes your historical sales data and inventory patterns to build a custom model that understands your specific business rhythm and needs.
03
Stay Ahead, Always
Receive proactive alerts, smart reorder suggestions, and plain-language answers to all your inventory questions — any time, from any device.
Target market
Built for the owner, not the IT department.
The project targets small and medium businesses where inventory mistakes immediately affect daily operations and staff may not have technical support.
Revenue model
Subscription pricing as usage telemetry.
The original pitch proposed usage-based SaaS tiers scaled by number of products tracked and access to AI-powered features.
Brand system
StockSense has its own visual language.
The original project also included a brand system: logo, palette, typography, and a voice designed to feel clear, reliable, and approachable to non-technical owners.
⬡StockSense AI
Emerald
#059669Emerald Lt
#10b981Teal
#0d9488Alert Amber
#f59e0bWarning Red
#ef4444Deep Dark
#022c22Soft Green BG
#f0fdf4We're built on data. Our tone reflects certainty and accuracy — because that's what small business owners depend on every shift.
We serve non-technical people. We never talk down or overwhelm. We make complex inventory intelligence feel effortless.
Team / CIS 4399
Built by students. Designed for business.
StockSense AI was developed as a UTEP CIS 4399 team project and business pitch.
JS
Jassiel SalazarTeam MemberCIS 4399 · UTEP
EL
Ethan LawrenceTeam MemberCIS 4399 · UTEP
RK
Ryan KirkwoodTeam MemberCIS 4399 · UTEP