Retail

AI that runs the retail business, not just the report

Retailers manage thousands of SKUs, hundreds of stores, millions of customers, and an always-on ecommerce channel. The data is everywhere. Datafi connects it into a single operating system so every employee, from the store floor to the merchandising office, has superhuman ability to find answers, make decisions, and take action.

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Retailers don't lack data. AI stalls because merchandising, store, ecommerce, and supply chain data live in separate worlds: the people who need answers can't reach them.

Fragmented Omnichannel Data

POS, ecommerce platforms, ERP, inventory management, pricing engines, loyalty systems, supply chain applications, and spreadsheets each hold a piece of the truth. Store managers can't see real-time sell-through against plan. Merchants can't connect promotional lift to inventory positions. Regional directors can't compare store performance without calling three people.

Every Decision Requires an Analyst

Merchants adjusting promotions, planners rebalancing receipts, and store managers responding to local demand all wait days for reports that should take seconds. Central analytics teams become bottlenecks. By the time answers arrive, the markdown window has closed or the out-of-stock has already cost sales.

AI Experiments That Don't Scale

Pilot projects produce interesting demos but never connect to the full business context. Internal builds require months of engineering. Copilot-style tools answer narrow questions but can't reason across merchandising, stores, supply chain, and finance. Meanwhile, retailers who deploy AI at scale pull ahead on margin, speed, and customer experience.

The Operating System

An operating system built for retail complexity

A vertically integrated data and AI stack that connects merchandising, stores, ecommerce, and supply chain — with governance, traceability, and an interface every role can use.

1 unified

Data Experience

Merchandising, stores, ecommerce, supply chain, and customer data connected in a single interface

100% governed

By Design

Role-based access, audit trails, and policy enforcement across every AI interaction with sensitive retail data

Every role

Enterprise Wide

Store managers, merchants, planners, ecommerce teams, supply chain leads, and finance partners

Days→ minutes

Time to Insight

From waiting on analyst queues to instant access grounded in live business data across all channels

Use Cases

AI agents for every role in retail

From the buying office to the store floor to the supply chain. AI that connects the full business context and produces tangible outcomes — not just answers.

Merchandising & Assortment Intelligence

Give every merchant superhuman access to category performance

Category managers and merchants make hundreds of assortment decisions every season. They need to understand what's selling, what's not, where customer preferences are shifting, how promotions affect inventory, and which SKUs to add, keep, or exit. Datafi replaces the analyst bottleneck with instant, governed access to live POS, inventory, trend, and competitive data through natural language, producing ready-to-act assortment briefs grounded in the full business context.

Natural language queries against live POS, inventory, and sales data

Category performance briefs with margin impact analysis

SKU rationalization recommendations based on sell-through and velocity

Competitive price positioning and assortment gap detection

DATA SOURCES AI AGENT DELIVERABLE POS Data Transaction history Inventory Store + DC levels Pricing Engine Comp & margin data Customer Data Segments & loyalty Trend Signals Seasonal & market datafi AGENT Analyze categories across all retail data Governed context ASSORTMENT BRIEF Women's Activewear Spring 2026 — 186 stores Category Revenue +11.3% YoY Gross Margin 42.1% +2.4pp SKU Velocity (bottom 20%) 34 SKUs flagged Recommended Actions Add 8 legging SKUs (high demand signal) Exit 12 low-velocity tanks (frees $340K) Reprice 14 items vs competitor gap Category Manager asks: "How is activewear performing this season? Which SKUs should I add or exit, and what's the margin impact?" → Brief in 15 seconds
Omnichannel Inventory — Rebalancing View AI-directed inventory orchestration across stores, DCs, and ecommerce STORES STR 01 94% Fill rate STR 02 91% Fill rate STR 03 62% CRITICAL STR 04 78% Below target STR 05 96% Fill rate STR 06 98% Excess ↑ +180 stores DISTRIBUTION CENTERS DC East 93% capacity · 2.1M units DC Central 76% capacity · 1.4M units DC West 97% capacity · 2.4M units ECOMMERCE FULFILLMENT Fulfillment Center 82% fill Ship-from-Store Pool 46 stores TRANSFER datafi AGENT Omnichannel Rebalancing Plan Transfer 1,200 units from STR 06 → STR 03 (same-day shuttle) · Fill rate recovers to 88% Redirect 4,800 units DC West → DC Central to support ecommerce surge in Midwest Projected impact: $680K markdown avoidance · 12% ecommerce fill rate improvement

Omnichannel Inventory Orchestration

Balance availability, cost, and speed across every channel

Too much inventory in stores ties up capital and leads to markdowns. Too little in the DC delays ecommerce fulfillment and loses customers. Datafi connects demand signals across stores, warehouses, ecommerce, suppliers, and logistics constraints so AI agents can identify imbalances in real time, recommend transfers, prioritize replenishment, and align inventory to actual demand across every channel, producing actionable rebalancing plans rather than just dashboards.

Cross-channel inventory visibility with real-time demand signals

AI-directed store-to-store and DC-to-store transfer recommendations

Ecommerce fulfillment optimization with ship-from-store logic

Working capital release through slow-mover identification and markdown timing

Promotion & Markdown Optimization

Protect margin through every stage of the promotion lifecycle

Promotional spend is one of retail's largest investments, and one of its biggest sources of margin leakage. Most teams plan promotions with limited visibility into cannibalization, halo effects, inventory readiness, and competitive response. Datafi connects promotional calendars, POS lift data, inventory positions, margin targets, and customer segments into one context layer. AI workflows monitor performance in real time, flag underperforming campaigns, recommend markdown timing, and produce actionable optimization reports before margin loss becomes embedded.

Promotion performance monitoring with real-time lift measurement

Cannibalization and halo effect detection across categories

AI-recommended markdown timing based on sell-through velocity and margin targets

Campaign ROI reporting with next-best-action recommendations

Promotion Lifecycle — Spring Campaign AI monitors, intervenes, and optimizes at every stage 1 Plan 2 Launch 3 Monitor 4 Optimize 5 End AI PRE-LAUNCH CHECK Inventory readiness: 94% 3 stores under-allocated (Midwest) Competitor matched price on 4 SKUs AI WEEK 2 ALERT Promotion underperforming Lift: 8% (target: 15%) → Recommend: deepen discount 10% on top 6 SKUs in SE region Margin Impact — With AI vs. Without Without AI $1.2M margin loss (late markdowns) With Datafi $840K margin protected (timely action) +$2.04M datafi AGENT Campaign Optimization Report — Spring Promo Deepened discount on 6 SKUs in SE region (week 2) → lift recovered to 16.2% (+8.2pp) Cannibalization detected in adjacent category: paused cross-promo in 22 stores Markdown timing accelerated by 4 days on 34 slow-movers → saved $380K in margin erosion Net campaign ROI: 3.4x vs 1.8x (unoptimized) — $2.04M total margin improvement
Store #127 — Morning Brief Good morning, Sarah. Tuesday, March 10 · Store #127 Greenville · Generated 6:42 AM Yesterday Sales $42.8K +6% vs plan Foot Traffic 1,847 -3% vs LW Conversion 24.1% +1.8pp Out-of-Stock 14 SKUs flagged PRIORITY ACTIONS FOR TODAY Replenish running shoes (3 sizes at zero stock) DC shipment en route — ETA 11:30 AM · Priority unpack needed URGENT Staff gap: no floor coverage 2–4 PM (predicted high traffic) Recommendation: extend Maria's shift or call in backup ACTION Spring promo endcap refresh due — activewear kit ready Visual merchandising guide generated · Sell-through on current: 72% OPTIMIZE Today's Traffic Forecast 8AM 10 12 2P PEAK 4P 6P 8P Peak: 2–4 PM Staff gap overlaps peak ↑

Store Operations Intelligence

Give every store manager a command center for their location

Store managers juggle staffing, replenishment, customer traffic, sell-through, compliance, and local competitive pressure, often without timely access to the data that drives those decisions. Datafi gives every store manager superhuman ability to see their entire operation in one view: what sold today, what's running low, where staffing gaps are emerging, what traffic looks like tomorrow, and which actions to take first. AI generates prioritized morning briefs and responds to natural language questions throughout the day.

Daily operations briefs with prioritized actions for each location

Real-time out-of-stock detection with automated replenishment triggers

Staffing optimization based on traffic forecasts and sales patterns

Location-level competitive intelligence and local demand signals

Enterprise Benefits

A unified data experience for every employee in retail

When merchandising, stores, ecommerce, supply chain, and finance operate from different data and different assumptions, decisions slow down and margin leaks go unnoticed.

Datafi gives every role, from the store floor to the buying office to the boardroom, superhuman access to the full business context. Not another dashboard. Not another analyst request. A single operating system where AI reasons across the enterprise and acts inside real workflows.

Faster Merchandising Decisions

Merchants and category managers get instant access to sell-through, margin, and competitive data without waiting on central teams

Lower Inventory Costs

AI orchestrates inventory across stores, DCs, and ecommerce, freeing capital trapped in slow-moving stock and reducing markdowns

Protected Promotional Margins

Real-time promotion monitoring catches underperformance early, recommends adjustments, and optimizes markdown timing before margin erodes

Empowered Store Teams

Store managers operate with full visibility into their location: staffing, stock, traffic, and sell-through, with AI-prioritized actions every morning

The Platform

A complete stack purpose-built for retail

Every layer of the Datafi platform serves a role in turning AI from isolated experiments into enterprise-wide operational capability across merchandising, stores, ecommerce, and supply chain.

Build

Studio

Govern

Control Tower

Run

Orchestrate

Cyber

Sentinel

Outcomes

Speed, margin, and customer experience at enterprise scale

Transformative outcomes in retail don't come from more dashboards or another consulting engagement. They come from an operating system that connects the entire business, from merchandising to stores to ecommerce to supply chain, and gives every employee superhuman ability to find answers, make decisions, and take action. Governed, traceable, and trusted.

Faster Than Internal Builds

A vertically integrated platform replaces months of custom engineering with days to first use case. New agents and workflows build on the same foundation, compounding value instead of starting over.

Stronger Than Point Solutions

Unlike service-heavy alternatives that deliver static solutions, Datafi is a living operating system. Every new data source, agent, and workflow makes the platform smarter and more valuable.

Broader Than Copilot-Style Tools

Personal productivity tools answer questions in isolation. Datafi connects the full business context and enables AI agents that reason, act, and learn across the enterprise, from the store floor to the boardroom.

Build AI into your retail operating model

A practical, scalable path to faster merchandising decisions, optimized inventory, protected margins, and empowered store teams, powered by an operating system for business AI.

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