Dashboard Showcase
See what a live executive dashboard looks like
One screen for revenue, growth, coverage and compliance — always current, never waiting on an export. The figures below are an illustration of the product; the case studies hold the real numbers.
Revenue
KES 2.48B
Growth
+18.2%
Active Outlets
12,548
Compliance
97.8%
Trend Analysis
Always-current performance, not last week's export
Revenue and growth trends update the moment the underlying data does. Leadership opens the dashboard and sees today's position — no export-and-circulate cycle, no asking whether a number is this week's or last week's.
- Live revenue and growth trends across any period
- One governed definition per metric, applied on every view
- Drill from company-wide totals to a single territory
Monthly Revenue
Last 6 Months
AI-Flagged Insights
The dashboard tells you where to look
Instead of waiting to be read, the dashboard surfaces what needs attention — demand shifts, likely stock-outs, territories drifting off plan — ranked by business impact so a handful of actionable signals never drowns in noise.
- Recommendations generated from predictive analytics
- Signals ranked by impact, not raised in bulk
- Each insight carries a confidence score
AI Recommendation
Generated from predictive analytics
Central Region sales increased 14%
Based on recent demand patterns, increasing inventory allocation to Kiambu and Nyeri is likely to improve service levels and reduce stock-outs.
Territory & GIS Coverage
Coverage you can see, outlet by outlet
Real geographic boundaries, real coordinates — not a decorative map. Distribution coverage is visible at the outlet level, so a gap in one territory can't hide inside a healthy regional average.
- Built on real geodata, projected to your market
- Outlet-level coverage instead of regional averages
- Spot territories where coverage is quietly collapsing
Territory Coverage
Active Sales Network
500k+
Active Outlets
47
Counties
98%
Coverage
Inside the Product
Straight from the working dashboard
These views are rebuilt from the production dashboard we run for clients today — same layout, same logic, with illustrative data in place of client numbers.
Executive Overview
Six numbers that run the morning meeting
Net sales, net orders, strike rate, returns, active outlets and active reps — each compared against the same period last year, with the variance computed for you. Sales and orders are deliberately never blended: collected revenue and forecast revenue stay on separate cards.
- Every KPI carries its same-period-last-year variance
- Entities with no prior-year history are labelled New, not zero
- One governed definition per metric across every view
Net Sales
KES 186.2M
▲ +12.4% vs SPLY (KES 20.5M)
Net Orders
KES 44.7M
▲ +8.1% vs SPLY (KES 3.3M)
Strike Rate
63.8%
▲ +4.2% vs SPLY (59.6%)
Returns Rate
1.6%
▼ -0.5% vs SPLY (2.1%)
Active Outlets
11,204
▲ +6.9% vs SPLY (10,481)
Active Reps
96
New (no SPLY data)
Distribution & Coverage
Numeric and weighted distribution per SKU
Every product carries both distribution measures — how many outlets stock it, and how much of the market's turnover those outlets represent. The industry-standard weighted calculation means a SKU in the right outlets scores higher than one scattered thinly.
- Nielsen-style weighted distribution, not a simple outlet count
- Rate of sale separates listing problems from selling problems
- Sortable and exportable down to the individual SKU
| SKU | Numeric | Weighted | RoS |
|---|---|---|---|
| Savanna Gold 500g | 62% | 88% | 4.6 |
| Highland Dairy 1L | 71% | 84% | 3.9 |
| Acacia Blend 250g | 44% | 67% | 2.8 |
| Mara Fresh 330ml | 58% | 61% | 3.1 |
| Coast Breeze 400gNew | 19% | 24% | 1.2 |
Weighted = turnover of stocking outlets ÷ turnover of all active outlets · RoS = rate of sale per stocking outlet
Rep Scorecard
Every rep, ranked by evidence
Visits, strike rate and net sales per rep, with year-on-year movement on every row. Managers see who is improving, who is slipping and who is new — without exporting anything or reconciling anyone's spreadsheet.
- Strike rate uses one agreed formula for every rep
- Year-on-year delta on every row, colour-coded
- Drill from the team view to a single rep's trend
| Rep | Visits | Strike | Net Sales | Δ vs SPLY |
|---|---|---|---|---|
J. Wanjiku Central | 412 | 71.4% | KES 4.82M | ▲ +16.2% |
P. Otieno Western | 388 | 68.9% | KES 4.31M | ▲ +9.7% |
M. Kiprop Rift | 405 | 64.2% | KES 3.96M | ▼ -3.4% |
A. Njeri Nairobi | 351 | 66.7% | KES 3.72M | ▲ +5.1% |
D. Mutua Coast | 214 | 58.3% | KES 1.94M | New |
Beyond the illustration
See it applied to a real engagement
Everything above is a live illustration of the capability. The case studies document what it delivered for a real client — with the real numbers.
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