We build AI solutions that deliver business impact

Q: How can my business benefit from AI?

AI is everywhere today, so ignoring it in your business development strategy would be a huge mistake. AI-enabled systems can improve your company’s efficiency and productivity, speeding up many core business processes. Human error reduction and better monitoring can boost your customer service quality. Besides, AI tools can help you expand and scale your business with lower risks by assuming responsibility for routine business tasks.

Q: How do you choose the right tech architecture?

Every AI/ML software project is unique, so its design requires considering many parameters. We at RNDpoint take into account the type of datasets the resulting AI system will work with, planned integrations with other software, the product’s technical and business goals, etc. This way, we bridge the technicalities of an AI development project with the business case and a particular client’s needs and expectations.

Q: How long does it take to scope, plan and execute an AI project?

AI projects may take from 3 months to up to 2-3 years to develop from scratch. The project scoping process may be tricky, as AI/ML are dynamically developing spheres and require data collection for ML algorithm training. Thus, the scoping and preparation stage may take several months to several years to ensure that you have sufficient data. Project planning can be conducted simultaneously with scoping and data collection, thus saving the team some time. After the AI/ML system is built, it needs training and backtesting; then, it is deployed and used in real-time settings.

Q: What are the costs of AI development services?

AI software design doesn’t fit into a one-size-fits-all cost estimation. Thus, a variety of custom AI web products built from scratch can cost your business anywhere from $6,000 to $300,000+, depending on your product’s complexity, underlying technology, required tech and human resources, and deadline. A prototype costs $2,500, while an MVP is regularly priced at around $8,000. So, it’s better to check out the costs at a specific company based on your project’s specific details.

Q: Why choose RNDpoint as your AI development company?

RNDpoint is a dedicated AI solutions provider with over a decade of FinTech/banking niche expertise. We employ cutting-edge AI technology to let your business feel a difference. Our products with a tangible business impact boost revenue growth, enable more accurate demand forecasting, and deliver insightful consumer analytics to power your decision-making.

Bespoke AI solutions for business growth. Trusted by financial institutions, retailers, FMCG, and eCommerce players.

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Industry-Specific AI Solutions by RNDpoint

Our industry focus is retail, FMCG, eCommerce, and banking. We help our clients with Revenue Growth Management, Demand Forecasting, and Consumer analytics.

AI Solution by RNDpoint is enabled by an analytical platform that allows our clients to reduce time-to-market by 50%, seamlessly integrates into existing infrastructure, and automates deployments and monitoring.

How RNDpoint is Leading the Way

Our expertise lies in applying AI solutions to growth and commercial issues.

Revenue growth management

Demand Forecasting

Customer Analytics

Success stories in Revenue Growth Management

Pricing optimization at grocery retail

We developed a solution to identify KVIs and opmise pricing

Increased like-to-like revenue by 0.6%
Increased gross margin by 1.2%

Promo optimization at a CPG player

We helped to optimize promo deals based on understanding of true promo ROI

Identified 40% deals with negative promo ROI worth
Captured incremental value at ~1.8% of gross margin

Assortment optimization at a e-com retailer

We developed solution to optimize assortment, cutting long tail of non-performing products

Cut 10% of SKUS
Decreased inventory by 15%
Increased gross margin by 10%

Success stories in Demand forecasting

Demand forecasting at a DIY retailer

We developed a forecasting solution predicting weekly sales per SKU- store

Decreased inventory by 10%
Increased on shelf availability by 3 pp

Demand forecasting and inventory management for and E-com player

We developed demand forecasting and inventory planning tool

Decreased inventory by 10%
Reduced stock-outs (sku-day) by 30%

Demand forecasting model at a CPG player

Developed forecasting tool, incorporating customer promo plans

CutIncreased CFR by 10%
Reduced OOS by 5%

Success stories in Customer analytics

Next product to buy recommendation engine at an E-com retailer

Created a personalised recommendation and advertisement algorithm, integrated with existing advertising engine providing suggestions for existing baskets and recurring customers

Decreased inventory by 10%
Increased on shelf availability by 3 pp

Churn reduction at a retail bank

Helped to reduce churn rate by identifying high risk customers and targeting them with customized offers

Decreased inventory by 10%
Reduced stock-outs (sku-day) by 30%

Schedule a meeting with an expert

Get a consultation with a qualified expert. 10+ years of experience in Data Science, building retail and eCommerce solutions, such as Barclays, Lego, and Softserve.

Volodymyr Sofinskyi

Chief Data Scientist

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AI Project Stages

Our typical AI project is split into 3 stages.

5-6 weeks

Proof of Concept:

Identify and narrow down a business problem through a series of interviews.
Assess data and process readiness.
Develop a small-scale proof of concept (POC) – e.g., 2–3 SKUs.
Estimate profit from the application of an AI solution.

10 - 16 weeks

MVP

Run a pilot project to prove the business value.
Develop a roll-out roadmap.

20+ weeks

Scale-up:

Create a sustainable solution, customizing it based on the users’ feedback.
Provide recommendations on the solution integration into existing routines.

Meet our Core Team

Our team combines data science, consulting, and deep industry expertise.

Consultancy team

Andrew Klesov

CEO at RNDpoint & 4IRE Group

10+ years in FinTech and Software Development at Mastercard and Bain & Company.

Gregory Ovsiannykov

Managing Director

10+ years of experience in McKinsey and P&G, leading more than 20 data science projects.

Data science team

Volodymyr Sofinskyi

Chief Data Scientist

10+ years of experience in Data Science, building retail and eCommerce solutions, such as Barclays, Lego, and Softserve.

Tetyana Gladkykh

Principal Data Scientist

20+ years of background in academic and applied ML. Experience in Oracle and SoftServe.

Anton Vaisburd

Board advisor

10+ years of experience in applied ML, leading a team of 30+ data scientists at SoftServe, EPAM, and Barclays.

Our expertise lies in applying AI solutions to commercial issues.

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Our Solutions are seamlessly integrated into the enterprise IT landscape: Time-to-Change is 50% lower

Datrics: No-code analytics and data science platform

Datrics.ai is a proprietary end-to-end no-code tool for machine learning and analytics that enables to:

Reduce time to impact and cost by ~50% with reliable and tested results.
Provide integration into existing technology stack and environment.
Transfer model for maintenance and further enhancements to the analytics team without data science expertise.
Administer a proven platform allowing flexible transformation, ML, dashboards, and deployments.
Automate and deploy AI routines in a few clicks.

Processmix: A BACK-END DEVELOPMENT LOW-CODE PLATFORM

Reduce integration and modification costs by up to 3x: $2000 monthly spend per developer instead of $6000.
Pick a successful solution installed in leading banks.
Make ML models actionable with a unique 4-in-1 platform.

Testimonials

Study the success stories of our AI clients

FAQ

How can my business benefit from AI?

How do you choose the right tech architecture?

How long does it take to scope, plan and execute an AI project?

What are the costs of AI development services?

Why choose RNDpoint as your AI development company?