TwoDots Software Services

What TwoDots Software Services does

TwoDots Software Services is a product development and data analytics service provider specializing in Big Data, Data Science, Machine Learning, IoT, Artificial Intelligence, and Cloud Migration and Services. They build and ship AI and data analytics solutions for e-commerce and retail businesses, focusing on demand forecasts, recommendation engines, and operations automations. Their approach emphasizes rapid deployment (4-12 weeks) and measurable business outcomes, with a "ship-or-don't-bill" policy for milestones. They offer custom AI solutions rather than off-the-shelf plugins, ensuring models are trained on specific catalogue, cost structure, and competitive data. The company's founder has extensive experience building retail AI at Kohl's and Sears, and they leverage a live AI lab called HappySellers with over 250 active sellers to test and validate their AI patterns.

Products

• Demand ForecastingKnow what sells, when, by SKU and channel. Buy the right stock and stop guessing reorder points. Ships in 4–8 weeks.
• Recommendation EnginesThe architecture our founder built for 20 million Kohl's shoppers, sized for your catalog and margins. Ships in 6–10 weeks. Custom AI Recommendation Engines for Shopify, WooCommerce & D2C Retail, built on real behavior for products, content, bundles, search, and every touchpoint.
• Reconciliation AutomationPayments, fees, refunds and returns matched overnight. Exceptions go to a human, the rest just runs. Ships in 4–6 weeks.
• Inventory PredictionReorder points, safety stock, and warehouse rebalancing computed from your real sell-through, not gut feel.
• Dynamic Pricing SoftwareAI-powered pricing for e-commerce that continuously adjusts product prices based on demand velocity, competitor moves, inventory depth, and margin floors. Built for Shopify and Amazon sellers.
• GenAI Support AgentsAI-powered support agents for e-commerce and retail.
• Returns PredictionPredicts returns to help manage inventory and margin.
• Data PipelinesSolutions for managing and processing data for AI systems.
• Inventory SyncSynchronizes inventory across different platforms.

Key capabilities

• First working result in 4 weeks
• Measured on business metrics (stockouts, AOV, hours saved)
• Client owns the code, models, and data pipelines
• Custom AI solutions, not off-the-shelf plugins
• Model-driven engines trained on specific catalogue, cost structure, and competitive set
• Built into Shopify or Amazon stack at the platform level
• Hardcoded margin floors for dynamic pricing
• Channel parity rules for dynamic pricing
• Shadow-mode validation period before live price changes
• Continuously adjusts product prices based on demand, competitor moves, and inventory
• Predicts which product each shopper is most likely to buy next
• Surfaces recommendations automatically on product pages, in the cart, and in post-purchase emails
• No recurring platform fee for recommendation engines
• Pilots from $2,500 for recommendation engines
• No long-term contract required to start for recommendation engines

Use cases

• Demand forecasting for SKU and channel
• Optimizing reorder points
• Building recommendation engines for shoppers
• Automating payment, fee, refund, and return reconciliation
• Calculating reorder points, safety stock, and warehouse rebalancing
• Dynamic pricing based on demand velocity, competitor moves, inventory depth, and margin floors
• Personalized product recommendations for products, content, bundles, search
• Reducing stockout rates
• Increasing average order value
• Recovering operations time
• Reducing excess stock held
• Improving gross margin through price optimization
• Automating price adjustments
• Predicting returns
• Managing data pipelines
• Synchronizing inventory
• Resolving customer support tickets faster with GenAI agents

AI approach

TwoDots specializes in building and shipping custom AI and data analytics solutions for e-commerce and retail, focusing on demand forecasting, recommendation engines, reconciliation automation, dynamic pricing, returns prediction, and inventory sync. They develop model-driven engines trained on specific client data, integrating them directly into platforms like Shopify and Amazon. Their approach emphasizes rapid deployment (4-12 weeks) and measurable business outcomes rather than just model accuracy. They leverage their experience from large retailers (Kohl's, Sears) and their own 'live AI lab' (HappySellers) to test and refine their AI patterns.

Tech named: Big Data, Data Science, Hadoop, Spark, Hive, Scala, Machine Learning, AI

Industries served

• E-Commerce
• Retail
• Information Technology & Services

What it says sets it apart

• Rapid deployment: 4–12 weeks to production
• Outcome-focused: measured on business metrics, not model accuracy
• Client ownership: clients own the code, models, and data pipelines
• No pilots, no decks: focus on shipping working systems
• Ship-or-don't-bill policy for milestones
• Founder's 15+ years of retail AI experience at Kohl's and Sears
• Leverages HappySellers as a live AI lab for testing and validating AI patterns
• Custom-built AI solutions tailored to specific business needs
• Focus on brands doing $1M–$20M in revenue
• Practical playbook for AI implementation for e-commerce SMBs
• Enterprise-grade AI playbook compressed for SMBs