Overview
Omni is a dealer-facing, secure GPT environment built by Fullpath. Unlike public LLMs, Omni is trained on the dealership's own data, integrates with the dealership Customer Data Platform (CDP), and uses the Model Context Protocol (MCP) to leverage dealership agents (inventory, incentives, OEM offers, Shopper data, etc.).
Omni uses what's called Deep Thinking, which means it has enhanced context for more accurate, nuanced responses, as well as:
- Ability to draw intelligent insights and recommendations
- Can handle multiple queries simultaneously and step-by-step
- Can aggregate and analyze data across the full shopper space, not just individual records
- Can elucidate the reasoning and logic behind shopper merges and presumed Identity Resolution
Omni is accessible via the Fullpath Dashboard and is positioned to preserve customer privacy, reduce per-user costs compared to individual accounts, and improve team performance while minimizing PII leakage risk.
Omni also works alongside the AI Insight cards in the Dashboard. Rather than reading an insight and then starting a conversation from scratch, you can open any Group CDP insight directly in Omni and keep going from there — the context travels with you.
How It Works
Omni isn't just a chat window bolted onto the Dashboard — it actively surfaces things it thinks you should know, before you even ask. That behavior is organized into a few distinct areas of the expanded Omni view. Here's what each one does and why it's there.
The "For You" Section
"For You" is Omni's personalized feed — a running list of AI-generated reports and proactive messages tailored to the person who's logged in, not a generic dashboard summary. It lives in the Omni panel underneath your conversation history, so it's the first thing you see alongside past chats when you open Omni.
What shows up in "For You" depends on who you are and what's enabled on your account:
- A General Manager typically sees a daily pulse-check briefing — a "morning coffee" style report on how the store is trending.
- A Sales Manager sees content oriented around team performance and pacing.
A Sales Rep sees opportunity-oriented items — things like hot leads from the day before, or shopper activity worth following up on.
Behind the scenes, Omni scores and ranks these items by relevancy before deciding what to surface, so the most useful item for that person and that moment lands at the top rather than a flat chronological list. Clicking into any "For You" item opens it as a full conversation in the main Omni chat window, with the underlying data and reasoning already loaded — there's no need to re-ask the question Omni already answered for you.
Top Insights Bar
Across the top of the Omni interface sits a bar of AI-generated insights, analysis, and suggested next-best actions — a higher-level companion to the conversational chat window below it, meant to be scanned at a glance rather than asked for.
Group CDP AI Insights & "Ask Omni"
For dealer groups, the Group CDP dashboard carries its own bar of AI-generated insights — the same at-a-glance analysis and suggested next-best actions, surfaced at the group level. Every insight card in this bar includes an "Ask Omni" button. Clicking it opens Omni with that insight already loaded, so Omni knows exactly which finding you're asking about and can pull up the full context behind it. From there you can keep going in conversation — ask what's driving the number, or what to do about it — without leaving the dashboard or re-explaining what you were looking at.
Inventory Insights on the CDP Inventory Report
AI Insights aren't limited to the group level. On the Inventory report inside the CDP, Omni surfaces insights scoped to a single store's inventory — the same at-a-glance analysis and suggested next-best actions, applied to the vehicles on that lot.
What sets these insights apart from a single-table summary is that Omni reads three sources at once and cross-references them:
- Vehicle performance stats — VDP views, leads, and sales broken down by condition, year, make, model, and trim
- Inventory trend data — daily movement, shopper traffic, leads, and views across the selected period
- Starred Segments — the six segments covering longest days-on-lot, underperforming VDP views, high engagement, above-average leads and sales, vehicles that left inventory, and vehicles promoted by VINs Acceleration
Because the insights read across all three rather than one table, they surface patterns that previously took manual digging to find: which specific models are driving leads, which aging vehicles VINs Acceleration is already helping, and where VDP traffic is trending.
Conversation History & Upper-Left Controls
The familiar GPT-style chat window is the core of Omni. Above it, in the upper-left corner, you'll find:
- New chat / Quick start — start a fresh conversation
- Bookmark and save — keep important chats for later so they don't get lost in your history
Chat Features
- Attach files to a conversation (up to 5 uploads per message)
- File types supported: txt, csv, json, pdf, png, jpg, jpeg
- File size supported: up to 5MB per file
- Use supported toolsets (e.g., code interpreter, web/file search) if enabled
- Open a Group CDP AI Insight straight into a conversation with the "Ask Omni" button on the insight card
Dashboard Push Notifications
- Prompts daily proactive insights
- Suggests further topics or deeper dives
Inventory Analysis
Omni can perform detailed analysis of dealership inventory data, including:
- Analyzing a subset of inventory (e.g. used vehicles only, a specific make or model) rather than aggregating across the full lot
- Comparing inventory metrics by body class, electrification level, and drive type
- Counting inventory broken down by any supported criteria (e.g. "how many of each make do we have on lot?")
- Standardized make data — variations like "KIA" and "Kia" are treated as a single make
Shopper Analysis
Omni can scan a client's entire shopper space and compute aggregated metrics across all shoppers, rather than reviewing shoppers one page at a time, including:
- Aggregating and ranking shoppers by attribute (e.g., zip code distribution)
- Filtering by engagement or behavioral thresholds (e.g., marketing engagement score under a given value)
- Comparing cohorts (e.g., owned-vehicle vs. non-owned-vehicle shoppers) across a metric like VDP views
- Computing averages across a filtered shopper set (e.g., average equity, average engagement score)
- Explaining individual Shopper Identity Resolution logic and reasoning, with visual aids to map out exactly why and how multiple entities may have been merged
Where to Find It / Navigation
Technical Eligibility
Available for Fullpath Dealer customers who have CDP Pro or the Fullpath Agentic CRM.
Roles and Permissions
Omni is available for Admin, Edit, or Read Only profiles.
- Omni can talk about any products that are enabled on the store account and which the profile using Omni has access to.
- In Group CDP, AI Insight cards include the "Ask Omni" hand-off, so a group-level insight can be opened and explored in Omni with its full context attached.
Navigation
Omni is included in the CDP Pro package as well as the Fullpath Agentic CRM, and therefore doesn't sit as a separate product in the Dashboard. Omni is enabled by default on all live CDP Pro accounts and is accessible via the Dashboard side menu across all pages.
Group-level insights are found on the Group CDP dashboard, in the AI Insights bar. Use the "Ask Omni" button on any insight card to continue that insight as a conversation.
Store-level inventory insights are found on the Inventory report inside the CDP, above the report data.
Privacy, Security, and PII Handling
Omni is privacy-preserving and trained on dealership data to reduce reliance on public LLMs. It is designed to prevent PII leaks and protect customer information when used correctly.
Omni Data and MCPs
Omni has several built-in Model Context Protocols (MCPs), or context bundles, that it can use to ground its responses in dealership-specific data. Fullpath is constantly adding more MCPs to the mix; some typical MCPs include (but are not limited to):
- Dealership operating information (address, hours, contact details)
- Dealership inventory
- Current incentives and OEM offers
- Dynamic Payments (if enabled on the store / group)
- Shopper, customer profiles, and behavioral data from the Fullpath CDP, including Identity Resolution logic and reasoning
- Activation product performance and metrics
Omni Use Cases
A sample of suggested prompts:
Tier 1: Executive / GM Questions (High-Impact Decisions)
Performance & Pacing
- "How are we pacing month-to-date versus the same point last month? Can you also help explain what is driving the increase or decrease by looking at lead sources, traffic sources, shopper behavior, and any other relevant contributing factors?"
- "What is our projected month-end sales/gross if the current pace continues?"
- "Where is the store leaking in the lead-to-sale funnel? Are we converting enough leads into appointments and shown appointments?"
- "Which lead sources or vendors are actually producing sales?"
- "Which zip code is the highest number of our shoppers from?"
Inventory & Demand
- "Do we have enough inventory for the vehicles shoppers are demanding? Which makes/models have demand but not enough stock?"
- "Which aged or promoted VINs need attention? Are VINs Acceleration units getting more VDP views after promotion?"
- "Which models are getting the most engagement?"
Store Health
- "How is my store doing today?" (morning briefing: sales, inventory, service, CRM workload)
Tier 2: Marketing Director Questions (Campaign ROI)
Traffic & Conversion
- "Which traffic sources are driving website conversions?"
- "How are my traffic sources performing relative to their benchmarks?" (close rate vs. industry standard by source)
- "Perform a website audit" (traffic quality, engagement paths, drop-off analysis)
Channel Performance
- "How did paid media perform this month by channel and objective? What did we spend, and are we on pace with budget?"
- "Which channels are efficient or inefficient by CPC, CPL, CTR, and conversion rate?"
- "Which campaigns should we scale, pause, or reallocate budget from?"
- "Are we getting enough VDP views from paid campaigns? What is the estimated CPL after accounting for calls and lead events?"
Audience Activation
- "Are Audience Activation campaigns producing opens, clicks, leads, and sales? Which AA campaigns are causing unsubscribes?"
- "Is unsubscribe rate spiking for any campaign, store, or time period?"
- "Which shoppers were reactivated or influenced by marketing?"
- "What's the average marketing engagement score of all shoppers who clicked an ad this month?"
Tier 3: Sales Manager / BDC Questions (Team Efficiency)
Funnel & Follow-Up
- "Which lead sources are producing appointments, shown appointments, and sold units?"
- "Where are leads getting stuck between lead received, appointment set, appointment shown, and sold?"
- "Are appointment show rates improving or declining?"
- "Which CRM leads need better follow-up? Are close rates different by source, vendor, make, or campaign?"
Prioritization
- "Which shoppers should sales prioritize right now?"
- "Who's in the sales lane today that I might be able to upsell to?" (equity + recent activity)
- "Show me five people to call today who were active yesterday on VDPs but haven't submitted a lead."
- "How many leads were left this month by shoppers with a marketing engagement score under 4?"
Tier 4: Compliance / CX Questions (Risk Mitigation)
- "Which campaigns are causing unsubscribes? Are unsubscribe rates unusually high?"
- "Are SMS/email opt-outs increasing? Are communication preferences being respected?"
- "Which campaigns risk list fatigue? Are shoppers receiving too many messages?"
Tier 5: Data Quality / CRM Ops Questions (System Health)
- "Are emails, phone numbers, addresses, VINs, and deal numbers usable? Where do CRM and DMS records disagree?"
- "Which clients or stores have data quality problems? Are shopper records merging correctly?"
- "Are opt-in and opt-out statuses accurate? Are lead sources mapped consistently?"