Identify where growth is hiding.
Use data and AI to strengthen commercial forecasting, prioritise growth opportunities, improve pricing and allocate resources to the highest-value actions.
Revenue Intelligence
Commercial forecasting
Telescope combines data, intelligence and management context to turn this area into an actionable decision workflow.
Pricing and promotion
Telescope combines data, intelligence and management context to turn this area into an actionable decision workflow.
Sales prioritisation
Telescope combines data, intelligence and management context to turn this area into an actionable decision workflow.
Growth scenario simulation
Telescope combines data, intelligence and management context to turn this area into an actionable decision workflow.
Turn fragmented commercial signals into the next valuable move.
A growth opportunity is only real when demand, customer response and economics point in the same direction. Telescope connects the evidence behind commercial decisions, then makes the recommended action understandable and testable.
A revenue decision layer, not another sales dashboard.
Rather than ranking products by sales alone, the system combines demand, unit economics and intervention constraints to surface actions that could improve incremental contribution.
Orders · CRM · stock · media
Demand, margin and response
Prioritise the next commercial move
Incremental contribution & learning
Commercial opportunity map
Illustrative modelTrack short-horizon demand changes by product and segment.
Compare likely upside with markdown, fulfilment and stock costs.
Route recommendations into pricing, campaign or account teams.
Three commercial decisions worth improving.
These simulated examples show how signals, models and human judgement can work together. Open a scenario to see its inputs, recommended action, measurement and guardrails.
01 / PRICING & PROMOTIONMake every offer earn its place.A retailer needs to decide which products deserve a promotion, rather than discounting across the board.
- Data signals
- SKU and channel sales, price history, stock position, seasonality and promotion exposure.
- Intelligence
- Estimate baseline demand and uncertainty; test price sensitivity, cannibalisation and contribution margin.
- Decision in workflow
- Recommend candidate offers with inventory and minimum-margin guardrails; require a category-owner review.
- What to measure
- Incremental contribution, margin after discount, stock-outs and control-group uplift.
- Guardrail
- Do not present correlated sales movement as causal promotion impact.
02 / SALES PRIORITISATIONGive the sales team a better next call.A B2B team has more pipeline opportunities than time to pursue them.
- Data signals
- CRM stage, account activity, historic conversions, territory and relationship context.
- Intelligence
- Score likely progression and account fit with calibrated uncertainty, not a single opaque “hot lead” label.
- Decision in workflow
- Suggest account queues, reasons to act and recommended outreach, with the account owner in control.
- What to measure
- Qualified pipeline conversion, sales-cycle time, contact efficiency and realised account value.
- Guardrail
- Audit segment bias and keep sales teams able to override unsuitable rankings.
03 / CHANNEL MIXMove spend toward real opportunity.Marketing and sales teams need a common view when channel demand changes unexpectedly.
- Data signals
- Campaign costs, traffic quality, transaction cohorts, inventory constraints and channel contribution.
- Intelligence
- Compare marginal return scenarios while allowing for attribution uncertainty and lagged response.
- Decision in workflow
- Propose budget shifts subject to guardrails, experiment plans and approval thresholds.
- What to measure
- Incremental return on spend, acquisition quality and contribution by channel.
- Guardrail
- Run holdouts or credible comparisons before treating modelled uplift as proven.
Build the evidence into the decision.
Every solution should be evaluated against an agreed baseline and practical operating constraints. These are the measures and safeguards we would discuss during opportunity discovery.
Lift versus a defensible baseline
Bias, calibration and uncertainty
Qualified progression per action
Margin and inventory guardrail breaches
- Use experiments or defensible comparison groups to validate incremental impact.
- Apply margin, capacity and channel policy constraints before release.
- Show confidence ranges and a human owner for commercial actions.
Find the revenue decision with the clearest upside.
Start with one product, segment or commercial decision. Map the value case, connect the right signals and test whether the recommended action changes contribution.
Telescope C3
Discover. Identify, quantify and prioritise the business opportunities where AI can create measurable value.
Explore →Telescope Optimum
Connect. Bring fragmented enterprise data into a contextual, governed intelligence layer.
Explore →Telescope Factory
Generate. Run predictive models, agents, simulations and proprietary intelligence components.
Explore →Telescope App
Decide. Turn intelligence into usable workflows, recommendations and management decisions.
Explore →Find your highest-value AI opportunity.
Share a little context about your business priority and our team will get in touch.