Corporate Mobile Telecommunications Optimisation · Data Sheet
Corporate Mobile Financial Results
Quantified results, tariff mix, status classification and pooled-model mechanics from a multi-entity mobile estate review.
1 · Result classification
Each outcome against its status
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| Measure | Status | Result |
|---|---|---|
| Pooled enterprise commercial model | Quoted / commercially validated | 15.0% lower — supplier proposal against the analysed baseline for the 352-line pooled model. |
| Usage tolerance | Included commercial value | 10% tolerance above the baseline pool before the usage band triggers price movement. Not treated as a direct cash saving. |
| Spend-management platform | Negotiated value add | Central visibility, reporting, policy monitoring and administration included with the service. |
| Device funding | Negotiated value add | Attached to qualifying new or upgrade users. Existing device commitments remained a client responsibility. |
| Group account architecture | Identified / implementation design | Centralised commercial treatment with entity separation preserved. |
3 · Tariff concentration
Where the 353 records actually sat
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| Tariff | Lines | Share |
|---|---|---|
| 2GB data top-up | 130 | 36.8% |
| 3GB data top-up | 60 | 17.0% |
| uChoose Smart L | 43 | 12.2% |
| Smart L | 26 | 7.4% |
| Red Advantage | 14 | 4.0% |
| 5GB data top-up | 12 | 3.4% |
| Smart XL | 12 | 3.4% |
| Other recorded tariffs | 56 | 15.9% |
More than a third of the estate sat on a single 2GB data top-up product, and over half on data top-ups generally. That concentration is what makes pooled allocation worth modelling.
4 · Pooled-model mechanics
Six design features, and what each one does commercially
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| Mechanism | Design | Commercial effect |
|---|---|---|
| Shared usage pool | Minutes, messages and data aggregated across participating users. | High use by one user is offset by lower use elsewhere, so individual allowances stop being wasted. |
| Historical baseline | Pool size derived from observed historical usage, not a generic tariff assumption. | Commercial sizing follows how the estate actually behaves. |
| Tolerance band | 10% usage tolerance built into the model. | Normal variation is absorbed before price-adjustment mechanics apply. |
| Periodic review | Usage reassessed at defined review points. | The bundle moves with the estate instead of becoming permanently mis-sized. |
| No ordinary out-of-bundle charging within the pool | Pooled bearer bundles without normal out-of-bundle charges for included categories. | Improves predictability, subject to fair-usage mechanics and excluded services. |
| Single enterprise tariff logic | The analysed population moves off a wide mix of individual structures. | Simplifies administration and reduces ongoing tariff-optimisation overhead. |
Scope of the quantified review
What the 15.0% is measured against
KuTh mapped the estate across the major network providers, and then concentrated the quantified commercial review on the largest voice account and the group account where reliable usage data was available.
The percentage therefore describes that analysed baseline. It is not a claim about every connection the group holds, and the store and reseller-managed connections outside the analysed accounts are not inside it.
On the entity structure
The group account architecture was designed to use group scale for commercial leverage while preserving the separate legal liability of the participating entities.
That constraint is easy to lose in a consolidation exercise, and expensive to rediscover afterwards. It was treated as a design input rather than a compliance review at the end.
