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 means connecting Coveo to where your product, customer, and behavioural data actually lives: Snowflake, SAP, Salesforce. That's where most Coveo partners fall short.
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 Coveo partners cannot do this.
We understand the product catalogue, pricing, and ERP data structures Coveo needs to index. SAP Commerce Cloud integration is core Jarvis delivery DNA — not a capability we're building for the first time.
CRM-connected search and role-aware personalisation through Salesforce CRM and Service Cloud are standard Jarvis delivery — fully integrated from day one, not bolted on post-launch.
UK, European, and broader EMEA market knowledge built in — regulatory context (GDPR, data residency), language and localisation handling, and deep familiarity with the local vendor ecosystem.
Senior architects and delivery leads throughout — not handed off to a junior team post-sale. You work with the people who designed the solution, from discovery through to go-live and AMS.
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.
⏱ 2–3 weeksDeploy 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.
⏱ 6–8 weeksReview performance against baseline KPIs. Extend Coveo to additional use cases — workplace search, additional brands and markets. Move to Jarvis AMS for ongoing optimisation.
⏱ OngoingCoveo'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.