Most Coveo partners are either large SIs who treat it as one tool in a massive transformation, or boutique agencies without the data and ERP depth to make the integration case credibly. Jarvis sits in a unique position — and this page explains why.
Implementing Coveo well isn't a search problem — it's a data integration problem. Getting AI relevance right requires connecting Coveo to the systems where your product, customer, and behavioural data lives: Snowflake, SAP, Salesforce.
That's where most Coveo partners fall short. They can configure the search layer. They can't credibly architect the Snowflake native connector, navigate SAP Commerce Cloud's product catalogue data structures, or build CRM-connected role-aware personalisation through Salesforce.
Jarvis can — because we live in those platforms every day.
We connect Coveo to your data platform natively. Transactional signals and customer profiles feed Coveo's relevance models in real time — without a separate ML pipeline. Most partners can't do this.
We understand the product catalogue, pricing, and ERP data structures Coveo needs to index. SAP Commerce Cloud integration is in our delivery DNA.
CRM-connected search and role-aware personalisation through Salesforce CRM and Service Cloud are standard Jarvis delivery — not a new capability built for the engagement.
UK, European, and broader EMEA market knowledge — regulatory context (GDPR, data residency), language handling, and local vendor ecosystem familiarity.
Senior-led engagements throughout. You work with the people who designed and built the solution — not a project manager and an offshore delivery team.
Coveo is an AI relevance platform — not a search tool. Here's what that distinction means in practice.
Intent-aware search that understands natural language — surfacing the most relevant results across any content type. No keyword matching, no manual tuning.
Real-time personalisation of search results, product recommendations, and content — based on individual behaviour, segment, and session context.
Dynamic merchandising rules and AI-driven boosting logic — giving merchandising teams data-backed control without constant rule maintenance.
Coveo RGA delivers instant, accurate answers from enterprise content — dramatically reducing support ticket volume and agent handling time.
Deep insight into query patterns, zero-result searches, and conversion paths — the data to quantify what poor search is costing you.
Pre-built connectors for SAP Commerce, Salesforce, ServiceNow, SharePoint, Confluence, Snowflake, and 50+ enterprise sources.
Every engagement starts with your current search performance data — so we know exactly what we're improving against.
Audit current search performance: zero-result rates, bounce from search, support ticket categories driven by findability. Map the existing data architecture — Snowflake, SAP, Salesforce.
Deploy Coveo on a single use case — typically eCommerce search or support self-service. Connect to Snowflake and primary data sources. Measure against Phase 1 baseline.
Review performance against baseline KPIs. Extend Coveo to additional use cases — workplace search, additional brands and markets. Move to Jarvis AMS for ongoing optimisation.
Coveo's Snowflake native connector puts your transactional and behavioural data upstream of the customer journey — feeding real-time personalisation without a separate ML pipeline.
We understand SAP's product catalogue data structures, pricing models, and ERP integration patterns. Coveo indexes your SAP Commerce content with full attribute and variant support.
CRM data — account history, case context, purchase records — feeds Coveo's personalisation and case deflection models through Salesforce CRM and Service Cloud.
Coveo's pre-built connector library extends to ServiceNow, SharePoint, Confluence, and enterprise document stores. Jarvis configures and governs these as part of every delivery.
Available for co-sell engagements, partner referrals, and joint delivery across EMEA, ANZ, and North America.