Unlock Hidden
Revenue
from Your Retail Data
Harness ML based predictive analytics to extract actionable insights from your data for profitable business decisions.
Increase your margins by 20% or more!!
Our Edge
We are specialists in retail forecasting due to experience and extensive knowledge of custom models targeted for the retail industry.
Four critical areas where predictive analytics directly accelerates revenue and operational efficiency.
Suventure Advantage
While most forecasters rely on standard statistical models — or at best Croston’s method — our engine is purpose-built with retail-specific models, new product introduction coverage, slow-mover specialisation, and hierarchical coherence.
Demand Planning & Inventory
Predict demand at SKU level across geographies and seasons. Eliminate overstock and stockouts by aligning inventory to actual market signals — not gut feel or historical averages.
↑ Availability
↓ Holding Cost
↓ Disposal
Pricing & Margin Decisions
Model price elasticity and competitive dynamics to identify optimal price points. Prevent margin erosion through reactive discounting and make proactive pricing moves backed by data.
↑ Margins
↓ Reactive Discounting
↑ Revenue
Supply Chain Alignment
Synchronise procurement, logistics, and production schedules to demand signals. Reduce SLA violations, emergency transhipments, and unplanned schedule changes that erode margin.
↓ SLA Breaches
↓ Logistics Cost
↑ Utilisation
Executive Decision Making
Provide leadership with forward-looking dashboards, scenario planning models, and promotional impact simulations so every major decision is anchored in quantified forecasts.
↑ Confidence
↑ Strategic Clarity
↓ Uncertainty
Who You’ll work with
Work Directly with the Experts Behind the Models
Srinivas S. Chillara
Head – Retail and Analytics, Suventure
Member, International Institute of Forecasters
A forecasting specialist with deep experience in retail and supply chain, Srinivas has delivered predictive models across global datasets — consistently improving forecast accuracy to 75–85%+ in most cases.
Srinivas S. Chillara
Head – Retail and Analytics, Suventure
Certified in Applied Forecasting
Member – International Institute of Forecasters
Business Benefits
What Forecasting Actually Delivers
Cost Reduction
Revenue Growth
Smarter Decisions
Custom Forecasting directly improves revenue, cost, and strategic decision-making — across every business unit at multiple levels.
Our Engagement Model
"Being forewarned is being forearmed"
1
Data Assessment
Audit your existing data assets, gaps, and quality to design the right forecasting strategy.
2
Forecasting Design
Select models based on data maturity. Uni-variate, multi-variate, or regression — chosen pragmatically.
3
Implementation
Build and integrate forecasting pipelines into your existing data infrastructure and reporting stack.
4
Scale & Optimise
Monitor, retrain, and evolve models as your business and data landscape grows over time.
Who We Serve
Built for Decision-Makers
Targeted to the people who own the P&L and the data — and want to run a tight ship.
Roles and Titles
Chief Technology Officer
Chief Data Officer
VP Engineering
Head of Data & Analytics
Chief Operating Officer
VP Supply Chain
Industries
Retail & Modern Trade
D2C Brands
E-Commerce
FMCG
Travel & Hospitality
Consumer Electronics
Functions
Chief Technology Officer
Chief Data Officer
VP Engineering
Head of Data & Analytics
Chief Operating Officer
VP Supply Chain
Case Studies
Forecasting in Practice
Real deployments across global markets — demonstrating domain depth and measurable outcomes.
Project 01
PoS Retail Transactions — Demand Forecasting
Canadian PoS · Aggregate & Outlet Level · Customers in Canada & USA
Deployed for a Canadian Point-of-Sale retail network with customers spanning Canada and the United States. Forecasting was built at both aggregate level and individual outlet level — providing granular demand signals that drive replenishment and revenue planning across the distribution network.
~80%
Forecast Accuracy
15-21%
Mape Range
Project 02
Pharmacy Retail Demand Forecasting
UK Retail Chain · ~2,000 Outlets · High-Value, Low Shelf-Life Medicines
Deployed across a UK retail pharmacy chain with close to 2,000 outlets, handling high-value medicines with extremely short shelf lives. The forecasting model minimised wastage losses while ensuring product availability — a commercially critical balance in pharmaceutical retail.
↓ 70%
Wastage Reduction
~£500K
Approx. Annual Saving
Project 03
Superior Retail Forecasting Engine
Core Forecasting Engine · Custom Retail Models · Special Case Coverage
A proprietary core forecasting engine built with a range of appropriate retail-specific models — going far beyond the generic approaches most forecasters use. While many practitioners default to standard statistical models or at best Croston’s method, our engine addresses the full complexity of retail demand.
💡 NB: Most forecasters use generic models, at the most using Croston’s model — our engine is purpose-built for retail.
Project 04
Forecasting Engine Driving Business Benefits
Decision Support System · Human + System Feedback · Adaptive Models
The forecasting engine extended into a full Decision Support System (DSS) that translates forecast outputs into actionable business decisions — with an emphasis on user experience, feedback loops, and continuous model adaptation.
👥
User-Centric UX
🔄
Feedback Loops
📊
Adaptive Models
Model selection depends on data maturity — not complexity. We start where your data is, not where we wish it were.
Get Started Today
Not sure where to start? Let us work with you to figure out the untamed mammoth with our Data Value Assessment services!
Book your free 30-minute data and forecasting consultation with our experts. No commitment. No pitch. Just clarity.
In your 30-min session, we will:
- Review your current forecasting / planning approach
- Identify 2–3 potential revenue leakage areas
- Suggest a practical roadmap based on your data maturity
No commitment required
Expert-led session
30 minutes, zero cost
ISO 27001 company