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Case study · Intelligent market analytics

Trade Assistant — intelligent market analytics

The market in real time, decisions on data. An intelligent system for market analysis and sales team performance: prices, products, categories and competitors in one loop, plus a trade calculator and AI recommendations.

AutomationAn in-house WIRES DEVS productWeb · rep tools on the phonePrices · products · categories · competitors
trade-assistant.app/market

Market overview · today

All categories · 1,240 SKUsDeviations · 7
Multifruit juice 1 L98 KGS▼ −4.2%Mineral water 0.5 L35 KGS▲ +1.8%Energy drink 0.45 L120 KGS▲ +3.4%Iced tea 1 L88 KGS▼ −0.9%Corn snack 90 g54 KGS▼ −7.9%Milk 3.2% 1 L76 KGS▲ +2.1%

98.4

Price index vs market

1,240

SKUs monitored

7

Deviations in 24 h

92%

Assortment coverage

Price index · Beverages · 30 days

Our priceMarket averageCompetitor A

Keep scrolling — from a raw shelf price to a ready sales scenario

The market loop

One loop connects sales, competitor prices and the reps' daily work

24/7Competitor price monitoringSKUProduct and assortment matchingΔDeviations and instant alertsIDXPrice indices by categoryCALCTrade calculatorAIRecommendations and work scenariosGEOMetrics by outlet and regionAPISales import from ERP systemsPDFReady reports for management

Challenge

Sales teams tracked the market by hand: competitor prices landed in spreadsheets now and then, assortments were compared by eye, trade metrics arrived late — and decisions relied on stale data.

Solution

We created Trade Assistant: the system automatically collects and analyses data on prices, products, categories and competitors, tracks market changes, compares assortments and calculates trade metrics. Built-in tools for sales reps, a trade calculator and AI turn the data into recommendations and work scenarios — the team decides on live data.

About the project

Trade Assistant is an intelligent system for market analysis and sales team performance. It automatically collects and analyses data on prices, products, categories and competitors, helps track market changes, compare assortments and calculate trade metrics. Built-in tools for sales reps, a trade calculator and AI produce recommendations and work scenarios — so every team decision rests on live data.

Every market change travels the same path: noticed — calculated — turned into an action scenario for the team

Industry
Trade & distribution
Status
In production
Product
An in-house WIRES DEVS product
Platform
Web · rep tools on the phone
Data
Prices · products · categories · competitors
PythonFastAPIPostgreSQLReactCelery

How the system reads the market

From a raw shelf price to a ready decision in four steps

01

Collect

Parsers gather competitor prices, products and categories from open sources, while the company's own sales and stock arrive from its ERP systems.

02

Normalise

The system matches other players' products to your assortment: identical SKUs, pack sizes and categories find each other automatically.

03

Analyse

Price indices, trends, category shares and trade metrics recalculate on every data refresh — deviations get caught immediately.

04

Act

Alerts go to owners, AI builds recommendations and scenarios, and sales reps receive tasks right in their tools.

The loop closes: the outcome of every action flows back into the data, making the next recommendation sharper

Try it yourself

The trade calculator: one price, the whole picture at once

An interactive demo of the Trade Assistant calculator. Move the product price — the system recalculates margin, your position against competitors and the market average, and gives a recommendation, just like the product. No data is sent anywhere.

  • Margin and price index recalculate instantly with every move of the slider
  • Competitors and the market average sit on one scale — your position reads at a glance
  • The recommendation changes with the price — like the AI hints in the product

Multifruit juice 1 L · Beverages

Your price

92 KGS

Cost

64 KGS

Margin

30%

Price index

98

vs market average

System recommendation

The price sits in the market corridor: margin and shelf in balance. The system watches competitors and will warn you if the corridor shifts.

Capabilities

One loop for everything happening on the market

Market data collection

Automated parsing of competitor prices, products and categories, plus your own sales and stock imported from ERP systems.

Change monitoring

The system watches the market non-stop: new products, price moves and shelf disappearances become events and alerts.

Assortment comparison

Price matrices and category coverage: see where you're pricier, where cheaper and which positions the shelf is missing.

Trade metrics

Price indices, margin, plan fulfilment, outlet and rep performance — computed automatically and always current.

Trade calculator

Prices, discounts, promos and margin in one tool: the consequences of a decision are visible before it's made.

AI recommendations

The model explains why things change, builds work scenarios and proposes decisions with the expected effect of each.

The price matrix

Assortment and competitor prices in a single table

The system matches your assortment against the market and keeps the price matrix fresh: for every SKU you see your price, competitor prices and the index vs market. Red means it's time to decide, green means price headroom.

  • Automatic matching of SKUs, pack sizes and categories
  • A price index for every product and category
  • Change history and trends for every competitor
  • Excel export and scheduled reports

Price matrix · Beverages & snacks

ProductUsComp. AComp. BIndex
Multifruit juice 1 L9892104100
Mineral water 0.5 L35383695
Energy drink 0.45 L120108112109
Iced tea 1 L888985101
Corn snack 90 g544947112

Updated 12 minutes ago · 24/7 monitoring · prices in KGS

AI & team tools

AI that knows your market — with the team plugged right in

The model runs on company and market data: it explains why sales move, prepares visit scenarios for sales reps and proposes pricing decisions — each with its expected effect.

Why did snack sales dip in Osh last week?

Commercial director · 10:02

Trade Assistant · 4 seconds later

Competitor B cut prices on 3 key SKUs by 8–12%; your price index rose to 112. I recommend a −6% promo on the top 5 SKUs and focusing visits on the 14 declining outlets — expected volume recovery ≈80% in two weeks.

Visit scenarios

a task plan for every outlet — from data, not guesswork

Live

Trade calculator in the field

margin, discounts and the price index right at the negotiation

Live

Deviation alerts

competitor price moves reach the team in minutes

Live

Demand forecast

outlet and category plans built on sales history

Live

The system in numbers

A market recalculated every single day

Every quote in the ticker is someone's shelf price: the system reads the market non-stop so the team decides on fresh data

120K+

prices and listings processed daily

40+

competitors and sources under monitoring

15 min

from a shelf price change to a team alert

24/7

the market watched — no weekends, no holidays

Who the system serves

One market, four workplaces

01

The commercial director

Sees the market and the team in numbers: price indices, plan fulfilment and performance — no manual digests, no gut-feel meetings.

02

The category manager

Price matrices, competitor assortments and deviations in their category — every day, not once a quarter.

03

The sales rep

Visit scenarios, tasks, the trade calculator and outlet metrics — on the phone, right on the route.

04

The analyst

Clean, matched data and ready reports instead of hand-rolled parsing and Excel magic.

Result

Sales teams see the market in real time: competitor price moves become alerts and ready scenarios, outlet and rep performance grows, and pricing policy is built on data instead of gut feel.

Next project

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