Driving Business Excellence Using AI & ML
Valiance brings years of experience in successfully applying Data Science & Machine Learning to wide variety of business problems globally. We work with single minded goal of helping our clients achieve business excellence through intelligent use of data sources-internal or external. In doing so, we have worked with marquee global brands in Financial Services, Management Consulting, Metals & Mining, Power Generation and Healthcare verticals.
★ Product teams partner with us to improve product features using machine learning. ★ Business leaders consult us on problem analysis - what, why, what-if questions ★ Data Science & Technology teams engage us for data engineering, model development & deployment. Why work with us ✔ Up to 30% reduction in the gross cost of building a data-driven products/solutions compared to internally ✔ Faster time to market with our flexible engagement model ✔ An experienced and integrated team of data scientists, data engineers, and software developers to develop and deploy a complete solution No matter the size of your company or stage of your AI journey, we are a reliable partner in your success.
headquarters
Focus
Portfolio
Walt Disney, AMEX, Rio Tinto, Swisscard, Abbvie, Universal Studios, NASCAR, NASSCOM, OLX India, Travel Triangle, IndiaMART, mPokket, Symbo Insurance, Bain Consulting, Sleepwell, Cardinality Consulting
Reviews
the project
Machine Learning for Online Marketplace
"They work like a collaborative partner."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m the head of analytics at OLX Group, an online classified marketplace. We provide a platform for people to list their own products and connect buyers with sellers.
What challenge were you trying to address with Valiance Solutions?
We needed to build a machine learning model that could identify potentially high-value clients so that we improve our efficiency and conversion.
What was the scope of their involvement?
We worked with them on two separate engagements. The first was supplementing our current capacity, and we quickly onboarded a few resources so we could continue working to support our various clients.
The next engagement was around a few specific projects, including reporting and a machine learning model to help us identify potentially high-value clients, which we deployed to optimize the sales process. Valiance Solutions’ main contribution in our engagements was the machine learning and AI work.
Throughout, there was also some ad hoc work that the team completed for us, like completing dashboards in collaboration with our own team.
What is the team composition?
My main point of contact was Vikas (Founder & CEO). During the longer part of the engagement, they provided two full-time resources.
How did you come to work with Valiance Solutions?
A contact of our prior head of analytics referred Valiance Solutions to us.
How much have you invested with them?
We spent between $50,000-$200,000.
What is the status of this engagement?
We worked together from January 2018-June 2019.
What evidence can you share that demonstrates the impact of the engagement?
Prior to the machine learning product, we were targeting all possible sellers in the platform, calling them up, and pitching them the product. The idea with the machine learning model was to improve efficiency, which we saw an increase of by 60%. Their work is good. Valiance Solutions is proactive and engages well.
How did Valiance Solutions perform from a project management standpoint?
We mostly guided them in terms of doing work. The only project in which they handled the timeline was the machine learning, which they handled well. We used email and phone calls and had a lot of face-to-face meetings. They would meet us every month if not more.
What did you find most impressive about them?
Valiance Solutions is open and they listen. They don’t force an opinion. They work like a collaborative partner.
Are there any areas they could improve?
They could do better with the onboarding of resources.
Do you have any advice for potential customers?
It’s always good to have the scope and expectations clearly defined.
Valiance Solution's machine learning model improved productivity by about 60%, satisfying the expectations of internal stakeholders. The team was well-organized, professional, and creative. Customers can expect a smooth, successful engagement.