A CRM your sales team stops working around

We start by tracing ten recent deals — five won, five lost — end to end. Who touched them, what documents were exchanged, where they stalled, and what actually caused the outcome. That produces a picture of the real process, which invariably differs from the process described in the first meeting.

From that we design stages with explicit entry and exit criteria, so "in negotiation" means something checkable rather than a feeling. Each stage carries a realistic probability derived from your own historical conversion, not from a template. That single change is what makes forecasting honest — a weighted pipeline built on made-up probabilities is theatre.

We also model what your business actually sells. A capital equipment sale with an eight-month cycle, a technical specification and a tender needs different fields from a consumables sale with monthly reorders. Companies that do both need both, cleanly separated rather than crammed into one pipeline.

Ignoring this is the single biggest reason CRMs go stale here. The enquiry arrives on WhatsApp. The drawing is shared on WhatsApp. The negotiation happens on WhatsApp. Then someone is expected to summarise it into a CRM, and they do not.

We integrate through the WhatsApp Business API so conversations attach to the deal record automatically. Templated messages handle quotation follow-ups, payment reminders and dispatch notifications. Incoming messages create or update leads. The salesperson keeps working in the app they already live in, and the CRM fills itself.

Alongside that we handle email threading, call logging with recording where permitted, and site-visit check-ins from the mobile app, so the activity history on a deal is complete without anyone typing a summary.

For most of our clients the quotation is the sales process. It carries product configuration, pricing, terms, validity, freight and taxes, and it goes through revisions. Handling it in Excel means version confusion, pricing errors and slow turnaround, all of which cost deals.

We build quotation generation into the CRM with your actual price lists, customer-specific rates, quantity slabs and scheme logic. Discount thresholds trigger approval routing — a regional manager can approve up to a point, beyond that it goes to the director, with mobile approval so nobody waits a day. Every revision is versioned, and the quotation that was accepted is the one that flows to the order.

The immediate benefit our clients report is turnaround: quotations that took a day and a half go out in under an hour, because the salesperson is selecting rather than calculating.

For field sales organisations the CRM must handle territory and beat structure natively: which accounts belong to whom, what the coverage plan is, and whether it is being followed. We build beat planning, visit scheduling, geo-verified check-ins and outcome capture, so a manager can see coverage without a phone call.

Targets are set at whatever granularity you actually manage — by rep, product group, territory and month — and tracked against actuals from the order system rather than self-reported numbers. The dashboard shows achievement, gap and the pipeline needed to close it, which turns the monthly review from a debate about numbers into a conversation about actions.

We are deliberate about what we do not build. Continuous location tracking of employees is technically easy and usually corrosive to trust. We recommend visit-level check-in instead, which gives management the coverage data they need without surveillance, and we will make that argument before building the alternative.

A pipeline report is only useful if the number at the bottom means something. We build forecasting on three inputs: stage-weighted value using your own historical conversion rates, the rep's own commit, and a data-driven view based on deal age, activity recency and comparable historic deals. Presenting all three together is far more useful than a single number, because divergence between them is itself information.

We also surface pipeline health rather than just size: deals that have not moved in thirty days, opportunities with no activity, stages with abnormal dwell time, and coverage ratio against target. Most sales problems are visible in these long before they show up in a missed quarter.

A CRM disconnected from fulfilment creates its own problems: sales promises dates the plant cannot meet, nobody knows whether an order shipped, and collections chase customers the salesperson knows have a quality dispute open.

We connect the CRM to your ERP or Tally so the accepted quotation becomes an order, dispatch status is visible on the deal, and outstanding balance and ageing appear next to the customer. That last one changes behaviour immediately — a salesperson who can see a customer is ninety days overdue stops pushing volume and starts pushing collection.