AI solutions
for sales
Typical questions, follow-ups, call summaries, preparing sales pitches, and manual operations take hours of work from strong managers every day. Applic removes the routine from sales so that the team can focus on deals, customers, and revenue growth.
Context.
AI for short and long sales cycles
There is no one universal bottleneck in sales. For some companies, the main loss is the first contact and the speed of response. For others, it's how the team manages the client after calls, meetings, and commercial offers. That's why we don't look at «sales in general» but at the type of funnel and a specific stage.
Short transaction cycle
Problem.
- There are leads, but the team does not have time to respond in time
- The client wrote in the evening - in the morning he had already left for a competitor
- Managers drown in typical questions instead of selling
- Some requests are simply lost between shifts
- First contact assistant (24/7)
- Answers to common questions
- Warming up and refining the request
- Working with the knowledge base
- Transferring a prepared contact to the manager
Long transaction cycle
Problem.
- After the call, the agreements are kept in the manager's head - and fall apart
- Follow-up is delayed or not sent at all
- The CP is prepared by hand, and the quality depends on the manager
- The manager cannot see the real picture without manual summarization
- Transcription and summary of calls/meetings
- Automatic follow-up
- Fixing agreements and the next step
- Generation of commercial offers
- AI assistant manager
- CRM analytics in natural language
Tools.
What we automate between contacts
The client wrote at 22:00. What happens next?
If you don't get a response right away, most customers just move on. Not because they are impatient. Because they've already searched and found someone who answered.
Applic's AI first contact assistant closes this gap. It responds at any time, clarifies what exactly the client needs, works through common questions, and transmits a live dialog to the manager - not a cold request from last night.
Get a solution →- Answers common questions (price, terms, conditions, delivery areas, etc.)
- Clarify the request: what exactly is interesting, what are the conditions, what is the situation
- Warms up the customer to talk to the manager
- Works in the website, messengers, social networks
- Agrees on a convenient time for contact
- In the morning, the manager sees the finished dialog - not a missed call
«The client wrote, didn't wait for a response, and moved on. If the first contact is made by an AI assistant, the manager gets involved at the point where the sale really starts.»
The call is over. What's next?
After a call, most managers do one of two things: either spend 30-40 minutes on a manual resume, follow-up, and filling out CRM, or do nothing because the next call is already coming.
In both cases, the company loses either time or the content of the transaction. AI automation closes this gap.
Get a solution →- Transcription of the conversation
- A brief summary: what was discussed, what agreements were reached
- List of specific next steps with deadlines
- Ready-made follow-up email to the client
- List of tasks for a manager
- Automatic filling of CRM
- If necessary, evaluate the call according to quality criteria
«After the call, the manager must either properly record the agreements, or it all stays in their head and starts to fall apart. If the summary, follow-up, and next step are collected automatically, the team doesn't lose momentum or content.»
The KP is not something that the team has to make up by hand every time
In companies with long transaction cycles, the CP is a critical point in the funnel. The quality and speed of the pitch often determine whether a client will move to the next stage. And yet, in most teams, the sales pitch is still prepared manually: the manager collects information from different places, adapts the template, and reconciles the numbers.
Quality varies from manager to manager. So does the speed.
Get a solution →- The manager fills in a short brief after the call
- The AI system takes a product base, company logic, and a template
- Forms a ready-made draft of the CP
- The manager edits the essence - not assembles the document from scratch
- A single serving standard for the entire team
«KP is not an area where the team has to put together a document by hand from different pieces every time. If the company already has a normal logic and product base, the manager should spend time on the content and the client, not on copywriting.»
The best manager shouldn't have to keep the logic of 30 deals in his head
When a manager has 20-40 active deals at different stages at the same time, the quality of work begins to depend not on skills but on memory and attention. Someone keeps neat notes, someone keeps everything in their head. The result is uneven.
Applic's AI assistant provides managers with a brief context before each call and a clear next step afterwards.
Get a solution →- Before the call: brief context on the client, current stage of the transaction, open issues and risks, recommended next step
- After the call: summary and agreements, tasks with deadlines, updated status in CRM, follow-up ready to send
«The best managers often keep the logic of the deal in their heads. The problem is that it doesn't scale. When the system tells you where the client is now and what the next logical step is, the team works more smoothly - not on intuition.»
CRM is there. But is it easy for you to get an answer right now?
Most companies already have CRM. The data is there. But there's a big difference between «the data is in the system» and «I immediately received an answer to a business question.».
To find out how many deals are stuck at the CP stage or which manager is closing the fastest, a manager usually needs to either wait for a manual report or go through the spreadsheets himself. Applic makes it easy to ask.
Get a solution →- Ask in natural language: «How many deals are at the CP stage?», «Who is the best converter this month?»
- Get a response without manual summarization
- Slices by managers, dynamics for the period, state of the funnel
- Less dependence on a single analyst
- Relevant data at the moment, not after the fact
«Many companies already have CRM. But until it became possible to quickly ask a question in a human way and get an answer right away, this data was not very helpful in management. When a manager sees the current picture without manual summarization, decisions are made much faster.»
Process
From the first call to the launched solution
We analyze a specific node: where leads are lost, the time or pace of the transaction.
We honestly say whether it makes sense to implement the solution and where exactly.
We delve into processes, funnel logic, and team specifics.
Not a box, but a solution for your business process.
Development, integration, testing.
To make the solution really work, and not just another tool.
And we stay by your side during the adaptation phase.
01
Analyzing one area of sales
We analyze a specific node: where leads are lost, the time or pace of the transaction.
Reviews
Why it works - from those who already live in this logic
Head of the sales department
e-commerce«We were afraid that it would be another beautiful tool that would just automatically respond instead of a manager. But the biggest value turned out to be different: we stopped losing momentum at the start and started to engage in warm dialogues faster.»
Commercial Director
B2B services«At first, it seemed that the manager didn't need another assistant. In fact, the greatest effect was not the tool itself, but the fact that managers stopped keeping the entire logic of the deal in their heads. Before a call, there is a brief context, and afterwards, the next step is clear. The team began to work more smoothly.»
Business owner
wholesale trade«There was a feeling that CRM was in place, so there was enough data. But until it became possible to quickly ask questions and get an answer immediately, this data was not very helpful. When a manager sees the current picture without manual summarization, decisions are made much faster.»
Case study.
A real example of implementation
Box Catering
Box Catering - catering in Kyiv and Odesa with delivery in 2-5 hours.
What Marichka does
- Conducts a full-fledged dialog from the first question to ordering
- Calculates the number and composition of boxes for the number of guests
- Checks the delivery area and lead-time (minimum 2 hours)
- Forms a structured order and transfers it to ERP
- In complicated cases, it instantly notifies the manager via Telegram
The company no longer loses evening and night calls. Managers deal with corporate contracts, not with the regular question of how much one box weighs.
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