From HQ to state-wise net sales, in one report
Daffoworth ran sales, returns, collections, and marketing spend across separate spreadsheets and tools, and most calls were made on assumptions. FireAI built a single, LLM-enabled Master Report and six role-based dashboards in two weeks, so the President stopped waiting on reports and started reading the month-on-month trend.
- +10.76%
- net sales growth (QoQ)
- 22.6%
- lower sales-return losses (QoQ)
- 2 weeks
- to go live
- 6
- role-based dashboards
Trusted by 200+ orgs to boost business insights.
The short version
Daffoworth Pharmaceuticals used FireAI to replace scattered spreadsheets with a single, LLM-enabled Master Report and six role-based dashboards covering sales, returns, collections, and marketing ROI. In a two-week rollout, net sales grew 10.76% quarter on quarter and losses from sales returns fell 22.6%, with region-wise ROI and expiry-risk controls guiding where to spend and what to fix.
The challenge
Fast-moving market, decisions made on assumptions
Daffoworth operates in a fast-moving pharmaceutical market where inventory health, distributor performance, and marketing ROI feed straight into working capital and margins. The commercial team needed one trustworthy view of sales, returns, collections, marketing spend, and region-wise ROI.
Instead, that data sat across spreadsheets and several tools, with no consolidated report linking it. Without a region-wise ROI view or clear sight of ageing stock, spend went where it had always gone and expiry losses crept in. Most decisions were made on assumptions rather than verified, timely data, which slowed response and increased leakage.
- Sales and return data was fragmented across spreadsheets and multiple tools
- No consolidated report linking sales, returns, collections, marketing spend, and ROI
- No region-wise marketing ROI view to guide where spend should go
- Weak visibility into ageing stock and expiry risk, causing preventable losses
- Decisions were made on assumptions rather than timely, verified data
Before FireAI
What Daffoworth tried before
The commercial data existed, but it was scattered and the picture had to be rebuilt by hand.
Manual spreadsheets in Excel
Sales and returns were tracked by hand across spreadsheets, so the numbers were slow to produce and easy to get wrong.
Multiple disconnected tools
Data sat in several systems with no consolidated report linking sales, returns, collections, marketing spend, and ROI.
Assumption-led decisions
Without a region-wise ROI view or clear sight of ageing stock, spend and inventory calls were made on assumptions, and leakage crept in.
The FireAI solution
A consolidated, LLM-enabled reporting engine in two weeks
FireAI combined data engineering, dashboards, and LLM configuration to surface decision-ready intelligence quickly, without disrupting existing field and distributor systems.
FireAI consolidated sales, returns, collections, and marketing data into one reporting layer and trained an LLM on top of it, so commercial teams could ask questions in plain language. The build, including data cleansing, dashboards, and LLM training, was completed within the two weeks agreed with the client.
A Master Report you can ask in plain language
One consolidated layer covers sales, returns, collections, marketing spend, and ROI, queryable in natural language. The President sees everything from HQ net sales down to state-wise net sales without waiting on a report.
6 role-based dashboards, 80+ widgets
Sales, Sales Returns, Collections, Sales Trend Analysis, Master Report, and Marketing each get their own view, surfacing 25+ KPIs across the commercial team.
Region-wise marketing ROI
Channel spend and conversion are tracked by region, so budget moves toward the geographies that actually return, instead of where it went last year.
Ageing and expiry-risk controls
Sales-return and ageing analysis flags expiry risk and operational leakage by product and location, so the team fixes the root cause before stock is written off.
Why they chose FireAI
- A focused two-week rollout that delivered decision-ready intelligence fast
- An LLM-enabled Master Report so commercial teams ask in plain language instead of waiting on a report
- Role-based dashboards built on top of existing field and distributor systems, with no disruption
Results & business impact
Measurable gains across sales, collections, and marketing
Q1 to Q2 2025, tracked via the Master Report. Exact currency figures kept internal.
Net sales grew 10.76% quarter on quarter while losses from sales returns dropped 22.6%, as the team caught return patterns and expiry risk early and reallocated marketing spend toward high-ROI regions. Fragmented spreadsheets and assumption-led calls became a single source of truth, and the reporting cadence sped up across sales, collections, and marketing.
It made my business so easy to track and manage sales and growth. Data was scattered and manual on Excel, and most decisions were made on assumptions. Now I see everything, from top HQ net sales to state-wise net sales. I don't wait for a report anymore. The month-on-month trend gives me complete clarity. Data-driven decision making is the only way to decide, and it made everything faster.
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Implementation
How the rollout went
2 weeks to go liveFireAI combined data engineering, visualization, and LLM configuration into a focused two-week implementation, without disrupting existing field and distributor systems.
- 1
Data understanding and cleansing
FireAI consolidated and cleaned sales, returns, collections, and marketing data into one reliable layer first.
- 2
Dashboard builds
Six role-based dashboards with 80+ widgets and 25+ KPIs across sales, returns, collections, trend analysis, and marketing.
- 3
LLM training and integration
The Master Report was trained for natural-language, ad-hoc analysis so commercial teams could interrogate the data directly.
- 4
No disruption to field systems
Existing field and distributor systems kept running throughout, with the analytics layer sitting on top.
Key takeaways
- A two-week rollout with no disruption to field or distributor systems
- An LLM Master Report turns scattered data into plain-language answers
- Net sales rose 10.76% quarter on quarter while sales-return losses fell 22.6%
- Region-wise ROI redirected marketing spend toward the geographies that actually return
Who should consider FireAI?
Pharma and FMCG commercial teams with sales, returns, collections, and marketing data scattered across spreadsheets and tools that do not talk.
Frequently asked questions
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