The margin for error has never been smaller
The reality? Retailers that don't leverage AI will be outcompeted on price, experience, and efficiency.
Fixed-time, fixed-budget AI solutions for retail
We're not another retail tech vendor with long implementations. We deliver working solutions.
The right products, at the right place, at the right time - Automated inventory forecasting and replenishment - Stockout prevention and safety stock optimization - Markdown optimization for clearance items - Supplier performance prediction - Warehouse space optimization - Reduce inventory costs by 20-35% while improving availability
Predict what customers want before they know it - Sales forecasting with external data (weather, events, trends) - New product launch prediction - Seasonal demand planning - Promotion effectiveness forecasting - Category and SKU-level predictions - Improve forecast accuracy by 40-60%
Treat every customer like your only customer - Product recommendation engines - Personalized marketing and promotions - Customer segmentation and micro-targeting - Next-best-action recommendations - Customer lifetime value prediction - Churn prediction and retention campaigns - Increase conversion rates by 30-50%
Seamless shopping experiences across all channels - Modern e-commerce platforms - Mobile shopping applications - Buy online, pick up in store (BOPIS) - Virtual try-on and AR visualization - Social commerce integrations - Headless commerce architecture
Scale operations without scaling headcount - Customer service chatbots with product knowledge - Dynamic pricing and promotion automation - Order fulfillment optimization - Returns and refund processing - Review and feedback analysis - Reduce operational costs by 30-40%
Turn data into competitive advantage - Real-time sales dashboards and KPIs - Customer behavior analytics - Basket analysis and cross-sell optimization - Store performance benchmarking - Competitor price monitoring - Market trend analysis and forecasting
From challenge identification to transformation roadmap - Digital maturity assessment - Omnichannel strategy development - Technology roadmap and vendor selection - ROI modeling and business case development - Change management and organizational readiness - Customer experience optimization
Fixed 4-week sprint delivery for working products - E-commerce platforms and mobile apps - Inventory management systems - Customer data platforms (CDP) - Point-of-sale integrations - Analytics dashboards - Cloud deployment with retail-grade scalability
Custom AI in 4-week sprint cycles - Demand forecasting and inventory optimization - Personalized recommendation engines - Dynamic pricing models - Customer churn and LTV prediction - Visual search and product tagging - Store layout and merchandising optimization
Challenge: - High inventory waste from poor forecasting (30% markdowns) - Declining store traffic and conversion rates - Generic customer experience leading to churn - Manual processes unable to scale
di-factory Solution:
Phase 1 - Consulting (4 weeks) - Customer journey mapping and pain point analysis - Omnichannel strategy development - Technology assessment and roadmap
Phase 2 - MVP Development (4 weeks) - Mobile app with personalized experiences - Inventory visibility across channels - BOPIS and curbside pickup
Phase 3 - AI Enhancement (4 weeks) - Demand forecasting and inventory optimization - Personalized recommendation engine - Dynamic markdown optimization
Expected Results: - 40% improvement in demand forecast accuracy - 25% reduction in markdowns and waste - 35% increase in mobile conversion rates - 30% improvement in customer retention - Significant annual margin improvement
Prove value with a focused use case - Single solution implementation (4 weeks) - Measurable impact on key retail metric - Foundation for broader partnership - Ideal for: Testing AI capabilities, building stakeholder buy-in
Deliver capabilities before peak season - 6-8 week project with multiple AI models - Targeted at holiday, back-to-school, etc. - Immediate revenue impact - Ideal for: Capturing seasonal opportunities
Comprehensive retail transformation - Dedicated team and resources - Rolling sprints with prioritized backlog - Continuous optimization and innovation - Ideal for: Enterprise retailers, multi-brand groups
4-week sprints ยท GO/NO-GO memo your board can sign - Digital maturity assessment across stores, e-commerce, supply chain - Omnichannel competitive teardown - Data readiness for demand-forecast + personalization - Loyalty program benchmark vs. industry leaders - Category-margin diagnostic
4-week sprints ยท production-ready, your team owns the code - Customer self-service + loyalty app - Store-manager operations console - Merchandiser demand-planning workflow - Digital-catalog + recommendation engine - Returns/reverse-logistics front-end
2โ4 weeks per model ยท your data, your infra, your team learns alongside - Demand forecasting (SKU/store/day) - Price elasticity + markdown optimization - Personalization + next-best-SKU - Inventory-allocation optimization - Customer churn + LTV prediction - Coordinated model suite (6โ8 weeks ยท 2โ3 models with shared eval harness)
Every engagement is fixed timeline, fixed scope. Code + models + docs delivered to your team. Investment sized to your data + integration reality โ shared on the first call.
With di-factory, you can: - Compete with Amazon on personalization - Optimize inventory like Zara - Scale customer service like Zappos - Do it all with retail-friendly budgets and timelines
The retailers that deploy AI now will dominate their categories.
Ready to accelerate your retail innovation?
Website: di-factory.biz Email: contact@di-factory.biz Phone: +52 55 1357 0947 LinkedIn: linkedin.com/company/difactory
Fixed time. Fixed budget. Real results.