Sales Intelligence
for a Global Sportswear Brand
A global sportswear brand unified fragmented data across 12+ internal systems into a conversational AI platform — giving sales reps real-time intelligence during live buyer meetings, cutting prep time from 6+ hours to under 1, and raising in-meeting question response rates from ~60% to over 90%.
Discuss Your Project →A global sales force flying blind in buyer meetings
A global sportswear brand operating across multiple regions was struggling to equip its sales teams with timely, actionable insights during live buyer meetings. Critical data on inventory, regional performance, and historical account behavior was fragmented across more than a dozen disconnected internal systems. Because of this, sales reps were forced to rely on static presentations and outdated reports, limiting their ability to answer real-time questions and requiring an excessive amount of preparation time for key account meetings.
What prompted the project
To modernize their sales approach, the brand needed a unified platform that could surface the right intelligence precisely when it mattered most — during the actual buyer conversation.
Real-Time Data Access
Provide sales reps with instant visibility into inventory and performance data, eliminating the lag between asking and answering.
Conversational Querying
Enable reps to ask natural language questions during live buyer conversations to pull up immediate insights without breaking flow.
Automated Materials
Generate account-specific presentations dynamically to reduce manual effort and keep content current with live data.
Knowledge Transfer
Capture and reuse successful sales patterns from top performers to improve the wider organization and accelerate new rep ramp-up.
Why an expert partner was required
The initiative faced several critical obstacles regarding data access and operational efficiency.
What We As Web delivered
We As Web implemented a unified sales intelligence platform that consolidated product, inventory, and performance data into a conversational interface — designed for the live buyer conversation, not just for prep.
Conversational Product Intelligence
Natural language queries that return instant, visual answers — surfacing insights reps might not have known to ask for.
Dynamic Presentation Engine
Account-specific presentations auto-populated with live data, relevant case studies, and inventory status.
Real-Time Inventory Visibility
Live inventory surfaced in context during the actual buyer conversation — no more "let me check and get back to you".
Pattern Recognition & Recommendations
The platform identifies what works — talk tracks, product combos that correlate with closed deals — and surfaces them to the team.
From 6 hours of prep to live, conversational intelligence
By unifying scattered data into a conversational, real-time platform, the brand made insights accessible at the exact moment the buyer was sitting across the table.
Meeting preparation time plummeted from over 6 hours to under 1 hour, freeing reps to spend more time in front of buyers.
The ability to answer questions live in the meeting increased from ~60% to over 90%, materially improving buyer confidence.
Post-meeting follow-up emails were reduced from an average of 4+ to just 1–2 per meeting — less cleanup, more closing.
Ramp-up time for new sales reps was cut down from 9 months to 5–6 months by leveraging the collective intelligence of top performers.
Conversational AI for high-stakes sales conversations
A unified platform spanning natural language querying, real-time analytics, dynamic presentation generation, and pattern recognition — integrated with the brand's existing internal sales systems.
When sales intelligence is live, every meeting gets sharper
A global sales force cannot win on static decks and fragmented data. By unifying 12+ internal systems behind a conversational AI platform designed for the live buyer conversation, we gave this global sportswear brand the ability to answer questions in the moment, generate presentations on demand, and capture the winning patterns of top performers at scale.
The result is a sales organization that learns from itself — every meeting, every close, every rep contributes to a growing intelligence layer that makes the next conversation sharper than the last. For any enterprise sales org with fragmented data and hours-long prep cycles, this is what a real AI platform looks like in production.