AI Sales Assistant. WLC × Open Mercato.
AI that listens to the call and supports the salesperson – in real time. Browser-based phone, live transcription, real-time recommendations during the call, and a ready summary once it ends. Built for your sales process on the Open Mercato platform.
Your sales team makes calls directly from the browser. The assistant transcribes each conversation in real time, presents recommendations as the call progresses, and generates a summary with proposed next steps once it ends. No switching between tools. No notes pieced together from memory.
WHAT CHANGES
Five areas where the assistant works. The result applies to the entire sales process.
AI Sales Assistant truly transforms your day-to-day work with customers. Find out how.
01
Real-time recommendations
The salesperson often remembers the key argument a few minutes after putting down the phone. The assistant presents it during the call, based on the live transcript of the conversation.
The result: the right argument at the moment of the customer’s decision, not five minutes too late.
02
Verified data in CRM
After a series of calls, the details of each become difficult to recall, and CRM data ends up incomplete. The assistant cross-checks the operator’s notes against the transcript and flags discrepancies.
The result: CRM populated with data from a verifiable source, not from operator memory.
03
Automated summary and next steps
Manually writing a summary and defining the next action after each call consumes time the team doesn’t have. The system generates both from the transcript – confirmation takes one click.
The result: every call ends with a ready summary and a defined next step.
04
One window instead of five tools
Phone, notepad, CRM, recorder, spreadsheet. The assistant brings these functions together in a single browser window — from dialing the number to confirming the summary.
The result: the entire sales call workflow runs in one place, without switching between applications.
05
Configured for your sales process
Unlike off-the-shelf SaaS solutions, the assistant’s behavior — how it recommends, summarizes, and verifies — is configured in the prompt editor. With versioning, change history, and testing on sample conversations.
The result: when the sales process changes, prompts update — not the codebase.
Want to see the assistant on your sales process?
We’ll walk through a demo on a scenario from your team’s actual work – call flow, real-time recommendations, and the summary once the call ends.
WHO NEEDS THIS
Three situations where the assistant starts mattering from day one.
Sales teams losing arguments after the call
Situation: The team makes 30+ calls per week. The best argument often comes to mind five minutes after putting down the phone. By then, the prospect has already heard the next vendor.
Solution: The assistant presents recommendations during the call – based on the transcript, not on afterthought.
Sales managers with incomplete or unreliable CRM
Situation: Reps fill in CRM “from memory” at the end of the day, if at all. Pipeline forecasts and follow-ups depend on data that may or may not reflect what actually happened.
Solution: Every call ends with a verified summary, next step, and outcome – flowing directly into CRM.
Sales operations standardizing across the team
Situation: A new rep needs 3–6 months to ramp up. Best practices live in the heads of top performers, not in the system.
Solution: Prompts encode the playbook. Every rep gets the same recommendations during the call. Onboarding compresses, performance variance narrows.
METHODOLOGY
How the rollout and day-to-day work with the assistant runs.
STEP 01
Process configuration
We map your sales process and configure the assistant’s prompts together with the team. Polish and English supported. Sample-conversation testing before going live.
STEP 02
Browser-based calling
The team makes calls directly from the browser — one click from the contact card, with your company’s caller ID.
STEP 03
Real-time transcription and recommendations
The conversation is converted to text in real time, and the assistant displays recommendations during the call.
STEP 04
Summary after the call ends
The system generates a summary and proposes next steps. Confirming the call outcome takes one click.
STEP 05
Note verification against the transcript
The assistant cross-checks the operator’s notes with the recording and flags discrepancies. Verified data flows to CRM.
WHAT YOU GET
An assistant that streamlines your daily tasks -not one that replaces you.
- One-click call initiation
- Numeric keypad and caller ID selection
- Mute, hold, call timer
- One active call per user (no duplicates)
- Speech-to-text conversion during the call
- No interruption to the natural rhythm of the call
- Automatic resumption after brief network interruptions
- Recommendations at decision moments
- Summary generated from the transcript
- Discrepancies flagged automatically
- Proposed next steps for the salesperson
- Cross-checking of operator notes against the recording
- Recording consent signaled before each call
- Full audit trail of key operations
- Encryption of sensitive fields + RBAC/ACL
- GDPR compliance — redaction, deletion, export of data
After the rollout
The assistant is one of the products we build on the Open Mercato platform — feature scope can expand alongside business needs, with full ownership of code and data. See also AI Content Creator →
Questions about
AI Sales Assistant.
No. The salesperson conducts the conversation. The assistant’s role is supportive: analyzing the call in real time, presenting recommendations during the conversation, and structuring the results afterward — summary, next steps, note verification. Decisions and the relationship with the client remain with the team.
Recording consent is signaled to the operator before the call begins. Sensitive data is encrypted, and the system allows for redaction, deletion, and export of data within your organization. Key operations are recorded in the audit trail. Access to data is role-based (RBAC/ACL).
No, the assistant feeds CRM systems. After each call, verified data flows in: summary, outcome, and a proposed next action.
Yes, this is the foundation of our approach. The assistant is built for a specific process, and its behavior is configured through prompts (PL/EN), with versioning and the option to test on sample conversations before deployment.