Platform module · Sales
Your sales team sells instead of researching.
AI that translates your sales data into prioritised contacts and closed deals.
Your systems hold what every customer buys, what they still need and when. Lead Nurturing pulls that out and puts it in front of your sales team, prioritised, before the next conversation comes up. At its core, it is the process in which you systematically nurture and develop potential customers (leads) through targeted, relevant content, based on your sales and market data.
Co-CreationTVE - Team Vertriebserfolg, Sales psychology
Two pillars
First order the data, then reach out with intent.
We get your sales data in shape first, then build the outreach on top of it, the kind that fits each individual customer.
The Predictive Sales Cockpit
- ERP connection to your existing system: the cockpit reads customer, revenue and order data from your system every day, reconciles and cleans it, with zero manual work.
- Built for mobile use: cloud-based and multilingual, readable on a tablet between two appointments.
- Anomalies no one else spots: the system flags when a regular customer suddenly orders less, picks up product trends early and runs the pricing calculation right alongside.
The Real-Time Growth Engine
- Cross- and upselling that fits the customer: the system evaluates publicly available information about the customer, layers it over your sales history and shows which product is still missing from the customer's range.
- Outreach at the push of a button: personalised emails, offers and ad creatives. Prepared, not pre-chewed, your sales team decides what to use.
- Lead prioritisation instead of cold calling into the void: the system taps the right data sources, finds new potential customers and sorts them by region and focus.
From the system
ERP data turns into the next deal.
Lead Nurturing reads your sales history and the public signals of every customer, and puts the right recommendation on top.
Tomorrow's route, already sorted
Internal and external data sources turn into needs-driven customer outreach.
| Customer | Signal | Recommendation |
|---|---|---|
| Hotel Seehof | newly opened | First contact |
| Gasthaus Lindenhof | 3 new fish dishes | Fish range |
| Pizzeria Roma | Volume −22 % | Call back |
| Café Central | no olive oil | Upsell oil |
| Kantine Werk 4 | Quantity +15 % | Framework contract |
When a regular customer goes quiet
The cockpit reads your ERP daily and flags the decline before it turns into a cancellation. Early enough for the call that keeps the customer.
Your most valuable data sits unused in the ERP
Every order your company has ever written is in the system. Who buys what, in what quantities, how often. That is the most precise sales map there is of your customers. And it sits unused in the ERP.
Instead, your sales team researches by hand. Before every appointment they piece together what might fit this week, page through old orders, guess. Hours that are missing from selling. Meanwhile the competitor sells the customer exactly the product that has been sitting on your shelf for months.
Cross- and upselling potential that evaporates because no one has the time to capture it.
Lead Nurturing closes that gap. We connect the data from your ERP with the sales psychology of our partner TVE and pour it into a system that takes over the research and the preparation. Your sales team takes over the conversation.
An architecture that fits your sales logic
No two companies sell the same way. A standard CRM forces your sales logic into someone else’s fields. That is why Lead Nurturing runs as a module on our platform, on a dynamic database and individual services that adapt to your process, not the other way around. Where the standard falls short, we flexibly build on top.
- Solid foundation: over 800 hours of core development have gone into the platform your system builds on.
- Independent of the AI provider: connection to all major AI models for text, research, image and video, with no lock-in to a single provider.
- Updates ride along: improvements to the base components and the interfaces are added in the background.
What this means for your sales day
The day no longer starts with desk time. It starts with the sale.
Before
- The day started with desk time: rounding up leads, skimming customer history.
- Guessing what to lead the conversation with.
Today
- The prioritised customers in the region are ready and waiting, at the top the new business that just opened its doors.
- At the first regular customer the matching recommendation sits right next to it, with a concrete hook instead of a gut feeling.
- Your sales team heads out and sells instead of preparing.
- The conversion rate that otherwise depends on the day's form now comes out of the data.
From the data record to the deal
To the appointment in five steps.
The system guides every lead through the sales process on a data-driven basis, from the first market scan to the appointment at the customer's site.
Scan the market and order the data
Regional lead sources and existing data are read in and structured.
Identify the need
The AI reads the lead's public presence, website and offerings, and infers where something is missing from their range.
Prepare the outreach
Campaigns, emails and content are created, tailored to the decision-maker you are dealing with.
Stay in the conversation
RAG-powered chat modules answer follow-up questions instantly and capture the first objections.
Close the deal
Your sales team walks into the appointment with ready-made dashboards and arguments and closes on the spot.
Security
Sales data never leaves the building.
Your customer structure, your terms, your margins, that is the capital of your sales operation. On our European platform we give a clear answer on that.
- eu-ai-act / gdpr
- Compliant. Full compliance with the requirements, including a transparent risk classification of every AI function.
- access control
- RBAC down to the record level. The architecture works with role-based access rights (RBAC), all the way down to individual records.
- data sovereignty
- Your data stays yours. Customer structure, terms and margins live in your own system. We do not pass them on to third parties.
Frequently asked questions
Answers to the questions decision-makers ask us most often.
What is lead nurturing?
Lead nurturing is the process of systematically guiding and developing potential customers with relevant, fitting content, based on your sales and market data. At steps2grow we draw from your ERP and sales data what each customer buys, still needs and when, and present it to your sales team as prioritised contacts with matching recommendations. That turns existing data into the next deal, before the conversation even starts.
How does the system know which product to recommend to a customer?
The system analyses publicly available information about your customer, such as their website and their offering. It overlays this on your sales history and shows what is still missing from the customer's range. The result is a concrete hook for the next conversation, instead of a recommendation made in the dark.
Does Lead Nurturing replace my field sales?
No, it takes the groundwork off their plate. The AI handles research and preparation and puts the prioritized customers, along with a recommendation, on the tablet before they even leave. The conversation with the customer and closing the deal on site stay with your field sales team. The conversion rate that would otherwise depend on the day's form now comes out of the data.
Do we have to switch our ERP or CRM for Lead Nurturing?
No. The cockpit connects to your existing ERP or CRM system and reads out customer, revenue and order data daily, reconciles it and cleans it automatically. Instead of forcing your sales logic into someone else's CRM fields, we work on a dynamic database with individual services that we tailor to your process.
Do our customer structure, terms and margins stay protected?
Yes. As a European AI provider, we work in compliance with the EU AI Act and GDPR and use role-based access control (RBAC) down to individual records. Your customer structure, terms and margins reside in your own system, and we do not share them with third parties.
What does an AI chatbot cost for my company?
What an AI chatbot costs depends on its scope: which questions it should answer, which systems it connects to and how much custom development is needed. Instead of a price list, we clarify the right scope after your enquiry in a personal conversation. The benefit is clear either way: a RAG-based chatbot answers enquiries directly on your site, including nights and weekends, and brings the contact to you, bypassing intermediaries.
See where AI gives you the biggest lever.
One conversation is enough to find the biggest AI lever in your business.