The buy meeting is in nine hours. The answer is in eleven systems.
A demand planner is still at her laptop, reconciling the POS export against the WMS report against the spreadsheet the category manager emailed on Thursday. The numbers don't agree.
Tomorrow, a seven-figure inventory bet gets placed anyway on gut feel dressed up as data. This page is about retiring that Sunday night permanently.
21 years · 300+ clients in 28 countries · NPS 75 · AWS Premier Partner · Anthropic Partner
Retail runs on the thinnest margins in the enterprise. Every unanswered question eats them.
Out-of-stocks send your customer to a competitor in one tap. Overstocks turn working capital into markdown liability. Shrink quietly compounds.
The knowledge that could prevent all three lives in the heads of a few veterans and a graveyard of spreadsheets. We call the price of that scattered knowledge the Context Tax.
Estimated annual global cost of inventory distortion across retail.
Source: IHL Group research
Of retail data goes unused for decisions because it is trapped in disconnected systems and formats.
Source: Industry analyst consensus
Typical number of systems a mid-market retailer touches to answer one merchandising question end to end.
Source: Sphere client discovery data
The turn isn't another dashboard. It's a system that answers.
Dashboards describe yesterday. Production AI can now sit on top of connected POS, ERP, ecommerce, WMS, vendor docs, planograms, and promo history, then answer in plain language with sources cited.
That's what Sphere builds. We have spent 21 years doing the unglamorous part: data engineering, integrations, and governance, which is why our AI works in production.
Ten solutions. One connected brain.
Each of these ships as a working production system, built on your data, integrated with your stack, governed from day one.
Forecast & Flow
Demand Forecasting & Inventory Optimization
AI predicts demand by SKU, store, and channel; optimizes stock levels; and flags supply disruptions before they hit the shelf.
Know Everything
Store-Ops Knowledge Assistant (KnowledgeAI)
Every SOP, planogram, vendor manual, and policy becomes answerable in seconds by any associate or manager, with sources cited.
Sell Smarter
Personalized Product Recommendations
Recommendation engines unify purchase, browsing, and preference data across digital and in-store touchpoints.
Price Right
Dynamic Pricing Optimization
Real-time price and markdown intelligence from demand, competitor, and margin signals, with guardrails finance can set.
Do the Work
Agentic AI for Merchandising & Supply Chain
AI agents draft POs, reconcile invoices, chase vendor exceptions, and monitor promo compliance while humans approve.
Serve 24/7
Customer Service & Post-Purchase AI
Support that resolves orders, returns, and product questions with human-grade understanding and escalates when it should.
Write at Scale
Automated Product Content
SEO- and AI-search-optimized product descriptions and attributes generated from specs across thousands of SKUs.
Protect Margin
Fraud & Shrink Detection
Real-time transaction and returns analysis that catches abuse patterns rules engines miss.
See the Market
Market & Trend Intelligence
Continuous analysis of demand signals, reviews, and category movement to spot what to stock next.
Read Everything
Document Intelligence for Vendor Ops
Contracts, chargebacks, compliance docs, and invoices extracted, structured, and reconciled automatically.
Every Sphere service, tuned for retail.
Strategy, engineering, and governance under one roof, applied to the systems retail actually runs on.
Sphere AI Foundry
Flagship · End-to-end
From use case to production in staged sprints. Foundry is how the demand-forecast pilot, the knowledge assistant, and the pricing engine each ship in 8-12 weeks.
ExploreKnowledgeAI & RAG
AI & Data
Retrieval-augmented AI over SOPs, vendor docs, promo history, and policies. The institutional memory of your best merchants, searchable by everyone.
ExploreAgentic AI
AI & Data
Autonomous workflows for back-office exceptions, document-heavy tasks, reconciliation, and operational handoffs, with human approval gates where they matter.
ExploreData Intelligence
AI & Data
The unglamorous foundation: pipelines, models, and governed data layers that make production AI reliable instead of theatrical.
ExploreAI Strategy & Roadmap
Advisory
A prioritized, ROI-sequenced AI roadmap in weeks: which use case first, what it needs, what it returns, and what will block it.
ExploreAI Governance & FinOps
Governance
Cost control, accuracy monitoring, access policy, and audit trails for every model in production.
ExploreSystems Integration & NetSuite
Sphere specialty
NetSuite implementations and integrations, operational workflows, and the ERP connectivity that makes AI usable in the real business.
ExplorePlatform Reboot & AI Product Engineering
Software & Modernization
Legacy platforms modernized without stopping the business; new customer- and crew-facing products built AI-native from day one.
ExploreProof, not promises.
Cross-border ecommerce M&A
The acquisition that had 30 days to be right
Careismatic Brands was acquiring SellersCommerce and needed decision-grade clarity on architecture, scalability, security, and hidden technical risk.
Sphere ran the technical due diligence across code, infrastructure, data flows, and team, then delivered a report the deal team could act on.
Deal-grade clarity · full-stack TDD on deal timeline
Explore our storiesOperations knowledge, answered
The 45-minute question that now takes 9 seconds
The KnowledgeAI pattern proven across 35,000+ operational documents now ships for retail SOPs, planograms, vendor manuals, and policy.
60x faster resolution · cited answer in seconds
See KnowledgeAIRetail AI that finance, legal, and the board can sign off on.
An AI that misquotes a return policy, leaks a vendor cost, or hallucinates a markdown rule is not innovation. It is liability.
Every Sphere retail deployment runs on SphereIQ: source-cited answers, role-based access down to the store level, full audit trails, and FinOps cost controls.
Pick your entry point. Each one ends in a shipped system.
Step 01 · Free
AI Readiness Scorecard
15 questions, 10 minutes. A scored view of data, systems, and use-case fit.
$0 · 10 minutes
StartStep 02 · Fixed scope
AI Spend Diagnostic
A fixed-fee teardown of where AI will save or make you money, with a prioritized roadmap.
$8,500 · 2 weeks
Book diagnosticStep 03 · Build
Sphere AI Foundry
Your first production retail AI use case, shipped in 8-12 weeks. Staged, measured, governed.
First win · 8-12 weeks
Explore FoundryStraight answers.
What AI solutions does Sphere build for retailers?+-
Demand forecasting and inventory optimization, personalized recommendations, store-ops knowledge assistants, agentic AI for merchandising and supply chain, dynamic pricing, customer-service AI, fraud and shrink detection, automated product content, and the data platform underneath. Most engagements start with the free Readiness Scorecard or the $8,500 AI Spend Diagnostic.
How long until we have something in production?+-
8-12 weeks for a first production use case through Sphere AI Foundry, for example a knowledge assistant over store operations documentation or a forecasting pilot on one category. Broader rollouts run in staged quarters, each gated on measured ROI.
Do you work with our existing systems - NetSuite, Shopify, our POS?+-
Yes. Systems integration is a Sphere specialty, including NetSuite implementations and integrations. We build AI on top of connected data, no rip-and-replace required.
How do you stop the AI from making things up?+-
Every deployment runs on SphereIQ: answers are grounded in your documents and data with sources cited, access is role-based, and every interaction is auditable. If the answer isn't in your data, the system says so.
We're mid-market, not a Fortune 500. Is this for us?+-
Mid-market retail and distribution is our sweet spot: companies big enough to feel the Context Tax daily, small enough to ship in weeks. Fixed-scope entry points exist precisely so you can start without a seven-figure commitment.
Next Sunday at 11:40 PM, let the system do the reconciling.
Tell us the question your team can't answer fast enough — the forecast, the vendor doc, the promo post-mortem. We'll show you, on your data, how it gets answered in seconds.
We move fast, think big, and deliver alongside you.