Datasparq
Datasparq is based in London, United Kingdom and works in Demand Forecasting for Aviation & Airlines, with further work in Recommendation Systems and Automation & Workflow.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 80%
- Evidence percentile
- P72
Profile updated · Request a correction
Company & commercials
- Primary category
- Predictive Analytics
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Transportation, Logistics & Supply Chain
What Datasparq does best.
Predictive Analytics provider for Transportation, Logistics & Supply Chain
Datasparq helps enterprises unlock value through data and AI, offering strategy, platforms, and tailored solutions across supply chain and professional services. Its own website shows its strongest capability in Demand Forecasting within Predictive Analytics, alongside Dynamic Pricing. The industry it describes most is Aviation & Airlines.
Evidence report
How Datasparq compares with peers on evidence, reviews and coverage.
What the evidence says
Datasparq presents as a moderate evidence profile for Predictive Analytics. It ranks in the 72nd percentile of 1,394 published providers in Predictive Analytics, and no reviews on the profile yet.
Current positioning: P72 evidence quality · P46 industry breadthAI capabilities.
Automation & Workflow
None of the listed technologies is specific to Automation & Workflow.
Mapping source · https://www.datasparq.ai/what-we-do/ai-for-supply-chain — “AI for Supply Chain Optimisation | Data & AI Consultancy – Datasparq Datasparq What we do”
“The solution Datasparq developed and run for us sits at the heart of what we do, to increase the level of informed, automated data-driven decision making. Their solution has already paid for itself 10x over.”
Featured 12 of 15 capabilities, ranked by mapping grade then confidence.
Industries served.
- Aviation & AirlinesDirect · Primary90%
https://www.datasparq.ai/what-we-do/ai-for-travel-and-hospitality — “ptimise systems, not individual processes We’re experts in travel and aviation We build for long-term value, not just quick wins We don’t overprescr”
- 80%
https://www.datasparq.ai/what-we-do/ai-for-supply-chain — “r isn’t “more tech”—it’s knowing where and how to use it properly GXO Logistics $6b+ market cap Optimised delivery schedules Reduced costs 16-week im”
What clients say.
It’s great to have an expert Data Science partner like Datasparq, who really understand our Data Science ambition and is fully aligned with our ways of working, which makes collaborating to deliver real business value very easy!
Worked with Datasparq? Review them → Every reviewer is verified by RankGlobal.
Sources behind this profile.
The RankGlobal Research Team opened each page and checked that it names Datasparq. Pages on Datasparq's own website are provider-supplied.
Case studies
- Scaling easyJet holidays' intelligent pricing capacity by 40xOn Datasparq's website·checked 23 Oct 2026
- Data and AI strategy for Leeds Bradford AirportOn Datasparq's website·checked 23 Oct 2026
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Move from discovery to a focused conversation.
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- Primary category
- Predictive Analytics
- Primary industry
- Transportation, Logistics & Supply Chain
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which Predictive Analytics problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Transportation, Logistics & Supply Chain — the strongest industry signal on this profile.
Enquire about Datasparq
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Where Datasparq ranks
- #8Best Recommendation System Developers in the UKUnited Kingdom
Badges for Datasparq's website (1)
A firm in the top 10 of a ranking can show it on its own site. Badges are earned, never sold, and always show the current place. How badges work.
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