How to Use Sales Methodology with Built-in AI Deal Co-Pilot Features

Sales methodology with built-in AI deal co-pilot features combines a clear process for managing sales opportunities with AI-powered tools that assist sales teams in prioritizing leads, scheduling follow-ups, and logging call outcomes. This helps reduce lost leads and speeds up deal closures.

Why this comes up / what goes wrong

Small and mid-sized Indian businesses often lose leads due to slow or inconsistent follow-up. Sales teams working on WhatsApp and spreadsheets struggle to keep track of where each lead stands. Without AI assistance, telecallers waste time calling low-potential leads first, and deals slip through the cracks because no one remembers to follow up at the right time. This leads to lost revenue and inefficient sales efforts.

Step-by-step

1. Capture all leads centrally: Gather leads from sources like IndiaMART, JustDial, and web forms into one system. Check that no lead is left unentered or lost in WhatsApp chats or Excel sheets.

1. Qualify and score leads using AI: Use AI lead scoring to rank leads by their likelihood to convert. Check that telecallers call the highest-scoring leads first to maximise chances.

1. Create deals in a sales pipeline: When a quotation is sent, create a deal entry at the 'quote sent' stage with a follow-up date. Check that all deals have a next action scheduled.

1. Use a built-in dialer to call leads: Telecallers work from a call list inside the CRM. Check that call outcomes are logged immediately after each call to keep records accurate.

1. Move deals through pipeline stages: Update deal status as conversations progress. Check that probabilities and expected values are updated to forecast sales.

1. Schedule and complete follow-ups on time: Use reminders to ensure no deal is forgotten. Check daily task boards to prioritise activities.

1. Review sales reports and forecasts regularly: Use AI insights to identify bottlenecks and improve conversion rates.

Using a CRM with these features helps keep the sales process organised and data-driven. For more on these capabilities, see CRM features and AI CRM.

Example (fictional figures)

On 01/05/2024, a small manufacturing business sends a quotation worth ₹1,20,000 to a lead. They create a deal at the 'quote sent' stage with a follow-up date of 05/05/2024.

• Quotation value = ₹1,20,000
• Probability of closing at 'quote sent' stage = 40% (assumed illustrative rate)
• Expected value = ₹1,20,000 × 40% = ₹48,000

The telecaller uses AI lead scoring to prioritise this lead and calls on 05/05/2024 using the built-in dialer. The call outcome is logged as 'interested, needs demo'. The deal moves to 'demo scheduled' stage with a follow-up on 10/05/2024.

This structured approach ensures no lead is forgotten and resources focus on high-potential deals.

Common mistakes

• Ignoring AI lead scores: Calling leads randomly wastes time. Prevent by always sorting calls by AI lead scoring.
• Failing to log call outcomes: Leads lose context without call notes. Prevent by logging outcomes immediately after calls.
• Not scheduling follow-ups: Deals stall if no next action is planned. Prevent by setting follow-up dates for every deal stage.
• Using disconnected tools: WhatsApp and spreadsheets cause data loss. Prevent by centralising sales in one CRM.
• Overlooking pipeline updates: Without stage movement, forecasts are inaccurate. Prevent by updating deal stages regularly.

For more on avoiding these mistakes, see HelloGrowthCRM for India.

Doing this in HelloGrowthCRM

HelloGrowthCRM supports this sales methodology with key features:

• Deals (pipeline): Automatically track deals from first contact to close. A quotation sent last week appears as a deal at the 'quote sent' stage with a follow-up date so it is not forgotten.
• AI lead scoring: Telecallers call the leads most likely to convert first, improving efficiency.
• Built-in dialer: Telecallers call leads directly from the CRM and log each call outcome, keeping all sales data in one place.

Learn more about these features at AI CRM.

Frequently asked questions

What is an AI deal co-pilot in sales? An AI deal co-pilot is an AI-powered assistant integrated into sales software that helps prioritise leads, suggests next actions, and tracks deal progress to assist salespeople in managing their pipeline effectively.

How does AI lead scoring improve telecalling? AI lead scoring ranks leads by their likelihood to convert based on data patterns, enabling telecallers to focus on the most promising prospects first, saving time and increasing conversions.

Can I manage all sales activities in one CRM? Yes, a CRM with built-in dialer, pipeline management, and AI features lets you handle calls, track deals, and schedule follow-ups without switching tools, reducing errors and delays.

Is it difficult to switch from WhatsApp and spreadsheets to a CRM? There is a learning curve, but using a CRM designed for Indian SMBs with familiar interfaces and built-in features like WhatsApp integration eases the transition and improves sales efficiency.

How do follow-up reminders help close deals? Reminders ensure timely follow-ups so that no deal is forgotten or delayed, keeping the sales process moving smoothly and increasing the chances of closing.

Key takeaways

• Use AI lead scoring to prioritise calling the most promising leads first.
• Track all deals in a sales pipeline with clear stages and scheduled follow-ups.
• Call leads directly from the CRM using a built-in dialer and log call outcomes immediately.
• Avoid losing leads by centralising sales activities instead of using WhatsApp and spreadsheets.
• Regularly update deal stages and use AI insights to forecast sales and improve strategies.

Start improving your sales process today with HelloGrowthCRM. Start on the Free Forever plan (200 leads, no credit card).