Data Analytics Services

Customer success story

Agribusiness leader improved sales efficiency with ML model

Data-driven pricing secured high-volume deals and empowered sales team.

Pythian deployed a custom Vertex AI model in Google Cloud to predict bid acceptance probabilities on high-volume commodities deals.

A century-old agribusiness firm relied heavily on veteran salespeople to set bid prices, leaving valuable sales margins on the table during high-volume transactions. Seeking to modernize its pricing models with AI-powered analytics, the enterprise partnered with Pythian to identify high-value ML opportunities through an interactive discovery workshop. Pythian developed a proof-of-concept predictive model using BigQuery, Vertex AI, and TensorFlow to calculate real-time bid acceptance probabilities based on historical and synthetic sales data. This automated pricing tool empowered sales teams to evaluate price risks instantly, boost deal margins, and execute high-volume contracts with complete confidence.

Pythian transformed years of institutional sales expertise into an intuitive, data-driven tool that allows our team to make pricing decisions faster and optimize deal margins in real time."
Director, Data Platforms

Global Agribusiness Leader

$61B+

Supported revenue

10K+

Employees empowered

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Over-reliance on traditional sales and pricing habits prevented the enterprise from maximizing revenue.

Pythian engineered a custom neural network on Google Cloud that predicts bid acceptance probabilities to eliminate guessing and optimize pricing.

Before working with Pythian, our sales reps had to rely almost entirely on gut feel and years of experience to quote large orders. Now, they can look at real-time data, see the exact probability of a bid being accepted, and make fast, smart pricing decisions without second-guessing themselves."
Director, Data Platforms

Global Agribusiness Leader

DATA UTILIZATION

Unscalable knowledge limited deal growth

Relying solely on veteran salespeople prevented data-driven pricing and slowed real-time transaction scalability.  

MARGIN OPTIMIZATION

Manual pricing left money on the table

In a high-volume commodities market, missing the pricing sweet spot by fractions of a cent reduced overall profitability.

USE CASE SELECTION

Unclear ML strategy stalled adoption

The internal team needed expert guidance to select and validate the highest-value AI/ML use case for immediate ROI.

DATA COMPLETION

Missing rejected bid data delayed modeling

Lacking historical records for rejected proposals required innovative synthetic data generation to train predictive models.

A strategic discovery workshop aligned IT and sales teams on the highest-ROI machine learning use case.

Pythian hosted a collaborative workshop and risk-reward assessment to bridge the gap between technical data scientists and veteran salespeople. By identifying bid-acceptance prediction as the highest-value opportunity, the client gained clear executive alignment, eliminated guesswork around AI investments, and focused resources on immediate margin growth.

Ingested sales data and generated pricing rules in BigQuery to build a complete training dataset.

Pythian loaded historical B2B sales data into Google BigQuery and developed business rules to synthetically model rejected bid pricing. This overcame the client's lack of historical rejected contract data, transforming incomplete records into a robust, high-quality data foundation required for reliable predictive modeling.

Trained custom TensorFlow neural networks on Vertex AI to accurately calculate real-time bid acceptance probabilities. 

Utilizing Vertex AI managed notebooks and TensorFlow, Pythian built and iteratively refined a baseline neural network model. The client gained an intelligent, automated algorithm capable of instantly calculating win probabilities based on specific customer history and market conditions, replacing manual guesswork with precision data.

Helped salespeople close higher-margin deals faster with intuitive pricing intelligence tools.

Pythian integrated the proof-of-concept output directly into sales team workflows to verify price points and assess deal risk instantly. The sales team gained the confidence to execute high-volume transactions without dropping prices unnecessarily, allowing the business to capture lost profits and scale salesperson capacity.

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Pythian is a proud Google Cloud Premier Partner

Lean on our deep expertise and 25+ years of data heritage.

Our expertise spans the full Google ecosystem, helping customers harness the power of scalable cloud infrastructure, data analytics, and modern AI modelling to drive innovation. We combine world-class technical skills with a customer-centric approach to accelerate digital transformation and maximize the value of your Google investment.

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