A scalable AI-based SaaS platform provides spend analytics to increase visibility and control of third party spending. Poor quality spend data impacts costs, innovation, and competitive advantage. The platform ingests client data from ERP systems and third party sources, maps transactions to categories using AI/ML, and provides dynamic dashboards with insights that transform users' ability to manage spending. It analyzes 100,000 transactions in 20 minutes with over 90% accuracy versus 200 days for humans. Clients have realized cost savings, 95% reduction in overhead, and 99% faster reporting.
2. Third Party Spend
by 10%
EBITDA32%
Fortune 500
Third Party
Spend:
EBITDARatio
3.2
Fortune 500
Outgoings
70%
ThirdParty
Spend
If it is so easy…Whyhasn’t everyone done it?
Spend data is poor
Why prioritise spend?
4. How we fix poor data
and improve visibility
Data Transformation
Spend Analytics
3. Reveal - dynamic dashboards
create visual, customised
insights.
4. Empower - our insights transform
the user's ability to control,
influence and driveefficiencies.
1. Unify – ingests clients’ data from
existing ERPssystems and
secondary data from theweb.
2. Build - auto-maps transaction to
correct category of spend using
Artificial Intelligence and Machine
Learning which significantly
reduces human effort and
increases overall accuracy.
Watch video
6. Want to review 100,000 spend
transactions?
Client A – 93% accurate
Client B– 86%accurate
Client C – 94%accurate
Each of these clients would take a human 200 daysto process.
Spendkey creates insights in 20 minutes.
Output
8. Testimonials
We would not have been able to deliver on our 5-week assignment without
getting spend insights in under 2weeksfrom Spendkey.
Rosalyn Olney, Co-Founder and Director at Source-Re
It'sgreat to see that you understand our underlying data quality
challenges / issues and have ready-made solutions to address them.
Often, many providers take a helicopter view that is detached fromreality.
Akbar Suleymanov, Senior Finance Director at Mundipharma
Watch video
Watch video
10. Unify and Ingest
Data Transformation
Setbaselinecurrency
Translatelanguage
Createa singleversion
11. Supplier Name
Abbbott Rapid Diagnostics Holdings,
Abbott Rapid Diagnostics Ltd,
ABToxicology Limited
Abermedia Limited
ABMAviation UKLimited
A.B.M.
Supplier Name
Abbott Rapid
Abbott Rapid
ABToxicology
Abermedi
a ABM
ABM
Supplier Name
Abbott Rapid DiagnosticsHoldings,
Abbott Rapid DiagnosticsLtd,
ABToxicologyLimited
Supplier Name
Abbott Rapid
Abbott Rapid
Abbott Rapid
Data Transformation
Cleanse and
normalise
Remove Typos
Group the same suppliers
Abbreviate where possible
Remove non-identifying text
Groupparentchildfinancialrelationships
12. Before:
Brief Description: MX250
Build context
Continuously refreshed with
secondary information
Data Transformation
After:
Detailed Description: Meraki MX250-HW
Security Appliance
New,granular, concise data labels.
Generating powerful customised insights
that align to your requirements.
13. London
9 strong team inUK.
Pune
16strong team in
India.
Plus five advisers, experience includes corporate development, developer
for Thoma Bravo portfolio companies, consulting founders, and start-up
Chief Financial Officer.
Everything in-house.