Pack Assist
How we cut AI costs and added 24/7 sales coverage for a packaging supplier with Pack Assist
Revolutionizing packaging sales with a cost-optimized AI agent
We built an AI-assisted sales qualification chatbot for a packaging supplier. The system combines a hybrid qualification flow, a live agent dashboard, and RAG-based fact-checking so the client can answer accurately without paying for unnecessary model calls.
Sales coverage
Cost control
Industry
Packaging & Manufacturing
Client
B2B Packaging Supplier
Engagement
End-to-end AI sales qualification platform
Outcome
Reduced AI costs with accurate, 24/7 coverage
Tech Stack
React, Tailwind CSS, Socket.io, Python, FastAPI, OpenAI, LangChain, Pinecone, MongoDB
A look inside the live platform — scroll to explore →
.PNG)
The Business Problem
The client needed an AI assistant that could qualify leads accurately while controlling cost and keeping human agents in the loop.
The old approach made every conversation expensive, and the risk of hallucinated product answers made the sales flow hard to trust.
01.
Every website visitor could trigger paid AI usage, even when they were only browsing.
02.
Hallucinated answers were risky in a sales flow where accuracy affected trust and conversion.
03.
Human agents needed a dense dashboard to manage live chats and qualification handoffs.
04.
Coverage gaps during weekends and off-hours meant the team could miss warm leads.
Our Approach
We treated Pack Assist as a production sales system rather than a simple chatbot.
The architecture had to protect spend, preserve accuracy, and give the team a real operational dashboard.
01.
Gate the first interaction so the system only escalates to a paid LLM when the visitor is qualified.
02.
Use a hybrid flow that combines fast rule-based triage with deeper AI answers when needed.
03.
Give agents a dedicated dashboard for concurrent conversations, lead context, and handoff control.
04.
Ground product answers in RAG and source-linked retrieval to reduce hallucinations.
05.
Keep the experience fast enough to work across the full sales funnel, not just a demo use case.
The Solution
The final product combines screening, qualification, retrieval, and live human handoff in one workflow.
01.
Hybrid qualification flow
Visitors are screened before expensive model calls happen, which keeps operating costs under control.
02.
Agent dashboard
Support staff can monitor, intervene, and manage leads from a focused Zendesk-style interface.
03.
RAG fact-checking
Product answers are grounded in the supplier's knowledge base so the assistant stays accurate.
04.
Realtime chat stack
Socket.io and a responsive front end keep the conversation fast enough for live sales.
05.
Production backend
FastAPI and MongoDB provide a practical base for scaling the platform beyond the initial deployment.
Technical Architecture
The stack was chosen to keep the experience responsive while staying practical to scale.
01.
FastAPI handles the backend orchestration and the qualification logic that decides when to escalate to AI.
02.
RAG with Pinecone and LangChain keeps responses tied to product knowledge instead of generic model output.
03.
Socket.io powers the live conversation layer so the experience feels immediate for visitors and agents.
04.
MongoDB stores the operational data needed for leads, sessions, and qualification history.
Business Impact
Pack Assist reduced wasted AI spend and gave the supplier a more reliable 24/7 sales channel.
0/7
Sales coverage
Always-on qualification and handoff
0x
Cost control
Hybrid flow reduced unnecessary LLM calls
0%
Agent visibility
Live dashboard for handoffs and lead context
0 flow
Unified workflow
Sales, RAG, and support in one system
Why This Matters
Packaging sales conversations need speed, accuracy, and a clear escalation path to a person. Pack Assist shows how to balance those three constraints without turning the experience into a rigid form flow.
The same design pattern works for any business that wants to use AI in customer-facing sales, but only where the economics and reliability make sense.
01.
Sell with AI without paying for unnecessary AI on every visit.
02.
Keep humans in control where product accuracy matters.