Retail AI analyst

ReplenishmentOOS / Lost salesDead stockPlan / FactTrial stays secondary

MyShopAI: daily replenishment, OOS and dead stock recommendations — with honest plan/fact before and after

Built for store owners and managers: connect sales history and inventory, detect revenue leaks and trapped cash, and receive short Telegram or WhatsApp recommendations on what to check and what to do today.

7–14 days

to the first working scenario

1 report

instead of many manual checks

Plan / Fact

after applied_at, not “trust AI”

Telegram / WhatsApp retail summary
Live-style sample

Good morning. Yesterday at a glance

A short executive summary for the owner or manager: what to check and where money is leaking.

Revenue

€4,820

Average basket

€18.40

OOS risk

3 SKU

Slow movers

4 items

Action list

  • Check stock for milk / eggs / water in stores A and C
  • Pause reordering premium pasta until current stock is cleared
  • Push granola next to yogurt 0%
OOS / replenishmentCross-sellPlan / Fact

For whom

For whom

owners of 1–20 stores
retail managers
teams using Somers.Market, Excel, 1C or CSV
businesses where replenishment and assortment still depend on manual control

Pain / use cases

What MyShopAI solves

OOS and lost sales

MyShopAI shows where shelves go empty too often and what to check before a customer leaves without buying.

Dead stock and trapped cash

Highlight slow movers so you can see where cash is blocked.

Replenishment without guesswork

Prioritize by demand, stock and sales history instead of intuition.

Plan / Fact instead of “trust the AI”

Log the moment of action and compare what was expected to what happened after.

Sample retail message
Live-style sample

Sample report

What the daily retail summary looks like for the owner or manager.

Revenue

€4,820

Average basket

€18.40

OOS risk

high in 2 stores

Low turnover

4 SKU

Action list

  • Check stock for milk / eggs / water in stores A and C
  • Pause reordering premium pasta until current stock is cleared
  • Push granola next to yogurt 0%
Executive summaryStore prioritiesSKU priorities

Scenarios

Core scenarios

replenishment priorities
OOS / lost sales
dead stock visibility
cross-sell prompts
store / SKU priorities
daily executive summary in Telegram / WhatsApp

How impact is measured

When a recommendation is applied, we log that event and compare what was expected to what happened after. That creates an honest plan/fact view instead of “just trust the AI”.

Data sources

  • Somers.Market API
  • Excel / CSV
  • 1C exports
  • manual imports at pilot stage
  • additional sources on request

Pilot flow

How the pilot works

Data audit and scenario selection
Source connection and report setup
Telegram / WhatsApp launch and first recommendations
Feedback loop and impact measurement

FAQ

A short brief, a contact and any available data: Somers.Market, Excel, CSV or 1C exports are enough.

Final CTA

See the first retail scenario on your data.

On the demo, we will break down one real case: OOS, dead stock, replenishment or basket growth.

Book a demo — we’ll show the first working scenario

We reply within 1 business day.

By submitting, you agree to our Privacy Policy.