Perfectory AI
Posts
Explore AI automation news, projects, and services from Perfectory AI.
Published comparisons with Sol and Fable, our early experience, and the checks each application needs before migration.
· 4 min read
Zenit Auto helps automotive-parts buyers decide what to order, what to discount, and where to investigate pricing or assortment gaps. It brings sales, inventory, and competitor data into one workspace, with AI-assisted recommendations, traceable calculations, and an assistant for exploring the reasoning behind each decision. Buyers review recommendations before preparing the final order.
· 4 min read
We build AI agents to help with the tasks your team spends time on
· 1 min read
A practical guide to building AI-assisted replenishment that combines demand, stock, lead time, inbound supply, business rules, and human approval without replacing your ERP.
· 5 min read
Draft to Publish brings news discovery, AI analysis, and content publishing into one workflow. It gathers stories from online sources, helps editors understand and develop them, and prepares posts for platforms including X, Telegram, Instagram, websites, and Threads. Human review remains part of the process before publication.
· 3 min read
We find what takes too long and build tools to make it faster
· 1 min read
How to design explainable reorder recommendations for large automotive catalogues with intermittent demand, substitutions, supplier constraints, competitor signals, and buyer approval.
· 6 min read
Ephyrium connects self-awareness with everyday wellbeing practices. Users can explore their needs across seven types of rest, review a personal rest profile, record their mood and energy, and choose restorative activities. The experience brings assessments, guided meditation, and prompted journaling into one place. Optional AI suggestions use assessment results and recorded context to offer more personal guidance.
· 2 min read
We help your team find answers in your files and data
· 1 min read
How to automate procurement analysis and recommendation work while keeping accountable buyers in control of high-impact, uncertain, exceptional, and policy-sensitive decisions.
· 7 min read
Let’s Learn helps people build language practice around the words they encounter and the situations that matter to them. Learners can create personal vocabulary decks, turn text from photos into study material, listen to pronunciation, and practise through cards and exercises. The app supports learning across multiple languages, with Portuguese as one example of connecting everyday experiences with regular practice.
· 3 min read
We connect your tools so your team doesn’t have to copy data between them
· 1 min read
A decision-focused method for improving availability without solving every stockout by buying more: segment risk, reconstruct true demand, test policy, and route exceptions to buyers.
· 6 min read
Find in Video helps teams locate exact duplicates and partial matches across video archives. It creates a reusable index of the library, then compares clips by their visual content and sequence—not just their filenames. Users can search with a new video or select an already indexed file to find matching footage within longer recordings.
· 3 min read
We help you choose what AI can do on its own and what needs your approval
· 1 min read
A practical framework for time-aware backtesting, baseline comparison, inventory-policy simulation, segment analysis, and human review before a forecast influences purchasing.
· 6 min read
We use your business data to help you plan what to do next
· 2 min read
Why large tabular forecasting tasks often need LightGBM or CatBoost instead of a GPT model, and what to do before choosing an AI approach.
· 3 min read
A useful AI automation POC tests one real workflow, with controlled data access, human review, and agreed business metrics. It should answer whether to scale, not pretend to be production-ready.
· 4 min read
Our classification results show fewer missed cases, more false positives, and a cost trade-off to evaluate before switching.
· 2 min read
A founder-led take on a bank support flow where an AI assistant kept repeating the app path and delayed a simple credit limit request until the customer got angry.
· 2 min read
A production migration is earned through task-level evidence. Use this checklist to evaluate GPT-5.6, Luna, Tera, and Sol for quality, cost, observability, and workflow fit before rollout.
· 4 min read
A founder’s note on restaurant booking assistants: good voice is not enough if the system cannot handle language switches, party-size changes, and real rejection paths.
· 3 min read
What needs checking before an AI-built prototype becomes a product used and maintained every day.
· 2 min read
A personal reflection on coding practice, understanding generated code, and staying responsible for the result.
· 2 min read
AI can draft and triage fast, but business workflows still need context, review, and clear approval rules before an output reaches a customer or system.
· 1 min read
Founder guidance on why durable AI products should be built around data, process, and workflow—not around one model or one library.
· 2 min read
AI can speed up routine work, but human direction, review, and business context still matter. Here is where it helps, where it fails, and what teams should do next.
· 2 min read
How to check inputs, define a useful result, and find the cause of unreliable AI output.
· 1 min read
We are building a compact evaluation set to compare recommendation quality across scenarios, confidence levels, and policy constraints.
· 1 min read
We added scenario simulation so pricing and procurement teams can test policy changes before rollout and estimate impact on margin and competitiveness.
· 1 min read
We are testing a pipeline that combines forecasting with recommendation logic, so teams can move from prediction to decision in one step.
· 1 min read
After validation, we move quickly into production planning with milestones for reliability, integration depth, and measurable KPI tracking.
· 1 min read
We delivered an end-to-end POC that compares competitor pricing with internal data, generates pricing recommendations, and adds forecasting for policy planning.
· 1 min read
For us, a POC is not a slide deck. It is a measurable test with real data, real integrations, and clear go/no-go criteria for business impact.
· 1 min read